Datasets:

librarian-bots

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Librarian Bots 57

supergoose/buzz_sources_414_ArithmeLogic

supergoose

--- dataset_info: features: - name: conversations list: - name: from dtype: string - name: value dtype: string - name: source dtype: string - name: stack dtype: string splits: - name: train num_bytes: 490 num_examples: 1 download_size: 4024 dataset_size: 490 configs: - config_name: default data_files: - split: train path: data/train-* ---

supergoose/buzz_sources_415_literate-agda

supergoose

--- dataset_info: features: - name: conversations list: - name: from dtype: string - name: value dtype: string - name: source dtype: string - name: stack dtype: string splits: - name: train num_bytes: 2187 num_examples: 1 download_size: 6561 dataset_size: 2187 configs: - config_name: default data_files: - split: train path: data/train-* ---

supergoose/buzz_sources_416_xpages

supergoose

--- dataset_info: features: - name: conversations list: - name: from dtype: string - name: value dtype: string - name: source dtype: string - name: stack dtype: string splits: - name: train num_bytes: 2244 num_examples: 1 download_size: 6416 dataset_size: 2244 configs: - config_name: default data_files: - split: train path: data/train-* ---

supergoose/buzz_sources_417_harbour

supergoose

--- dataset_info: features: - name: conversations list: - name: from dtype: string - name: value dtype: string - name: source dtype: string - name: stack dtype: string splits: - name: train num_bytes: 431 num_examples: 1 download_size: 3710 dataset_size: 431 configs: - config_name: default data_files: - split: train path: data/train-* ---

supergoose/buzz_sources_418_igor-pro

supergoose

--- dataset_info: features: - name: conversations list: - name: from dtype: string - name: value dtype: string - name: source dtype: string - name: stack dtype: string splits: - name: train num_bytes: 2328 num_examples: 1 download_size: 6832 dataset_size: 2328 configs: - config_name: default data_files: - split: train path: data/train-* ---

supergoose/buzz_sources_419_clean

supergoose

--- dataset_info: features: - name: conversations list: - name: from dtype: string - name: value dtype: string - name: source dtype: string - name: stack dtype: string splits: - name: train num_bytes: 1456 num_examples: 1 download_size: 7560 dataset_size: 1456 configs: - config_name: default data_files: - split: train path: data/train-* ---

supergoose/buzz_sources_420_sas

supergoose

--- dataset_info: features: - name: conversations list: - name: from dtype: string - name: value dtype: string - name: source dtype: string - name: stack dtype: string splits: - name: train num_bytes: 1484 num_examples: 1 download_size: 5084 dataset_size: 1484 configs: - config_name: default data_files: - split: train path: data/train-* ---

supergoose/buzz_sources_421_parrot-assembly

supergoose

--- dataset_info: features: - name: conversations list: - name: from dtype: string - name: value dtype: string - name: source dtype: string - name: stack dtype: string splits: - name: train num_bytes: 477 num_examples: 1 download_size: 3456 dataset_size: 477 configs: - config_name: default data_files: - split: train path: data/train-* ---

supergoose/buzz_sources_422_scaml

supergoose

--- dataset_info: features: - name: conversations list: - name: from dtype: string - name: value dtype: string - name: source dtype: string - name: stack dtype: string splits: - name: train num_bytes: 405 num_examples: 1 download_size: 3082 dataset_size: 405 configs: - config_name: default data_files: - split: train path: data/train-* ---

supergoose/buzz_sources_423_module-management-system

supergoose

--- dataset_info: features: - name: conversations list: - name: from dtype: string - name: value dtype: string - name: source dtype: string - name: stack dtype: string splits: - name: train num_bytes: 714 num_examples: 1 download_size: 3936 dataset_size: 714 configs: - config_name: default data_files: - split: train path: data/train-* ---

supergoose/buzz_sources_426_pure-data

supergoose

--- dataset_info: features: - name: conversations list: - name: from dtype: string - name: value dtype: string - name: source dtype: string - name: stack dtype: string splits: - name: train num_bytes: 263 num_examples: 1 download_size: 2805 dataset_size: 263 configs: - config_name: default data_files: - split: train path: data/train-* ---

supergoose/buzz_sources_427_unrealscript

supergoose

--- dataset_info: features: - name: conversations list: - name: from dtype: string - name: value dtype: string - name: source dtype: string - name: stack dtype: string splits: - name: train num_bytes: 2578 num_examples: 1 download_size: 6836 dataset_size: 2578 configs: - config_name: default data_files: - split: train path: data/train-* ---

supergoose/buzz_sources_429_netlinx

supergoose

--- dataset_info: features: - name: conversations list: - name: from dtype: string - name: value dtype: string - name: source dtype: string - name: stack dtype: string splits: - name: train num_bytes: 793 num_examples: 1 download_size: 4839 dataset_size: 793 configs: - config_name: default data_files: - split: train path: data/train-* ---

supergoose/buzz_sources_430_jflex

supergoose

--- dataset_info: features: - name: conversations list: - name: from dtype: string - name: value dtype: string - name: source dtype: string - name: stack dtype: string splits: - name: train num_bytes: 2072 num_examples: 1 download_size: 9294 dataset_size: 2072 configs: - config_name: default data_files: - split: train path: data/train-* ---

supergoose/buzz_sources_431_red

supergoose

--- dataset_info: features: - name: conversations list: - name: from dtype: string - name: value dtype: string - name: source dtype: string - name: stack dtype: string splits: - name: train num_bytes: 2691 num_examples: 1 download_size: 11941 dataset_size: 2691 configs: - config_name: default data_files: - split: train path: data/train-* ---

supergoose/buzz_sources_432_propeller-spin

supergoose

--- dataset_info: features: - name: conversations list: - name: from dtype: string - name: value dtype: string - name: source dtype: string - name: stack dtype: string splits: - name: train num_bytes: 2125 num_examples: 1 download_size: 6146 dataset_size: 2125 configs: - config_name: default data_files: - split: train path: data/train-* ---

ZixuanKe/cfa_extracted_exercise_sup_sample_from_policy_v1_1_rpo_stepwise_iter_1_dpo_val_chunk_2

ZixuanKe

--- dataset_info: features: - name: prompt dtype: string - name: rejected dtype: string - name: chosen dtype: string splits: - name: train num_bytes: 51839 num_examples: 17 download_size: 18643 dataset_size: 51839 configs: - config_name: default data_files: - split: train path: data/train-* ---

PrepAI/la-chatbotarena-log

PrepAI

--- license: mit task_categories: - text-generation language: - vi - en - th tags: - education size_categories: - 1K<n<10K ---

ZixuanKe/cfa_extracted_exercise_sup_sample_from_policy_v1_1_rpo_stepwise_iter_1_dpo_val_chunk_4

ZixuanKe

--- dataset_info: features: - name: prompt dtype: string - name: rejected dtype: string - name: chosen dtype: string splits: - name: train num_bytes: 33033 num_examples: 16 download_size: 25026 dataset_size: 33033 configs: - config_name: default data_files: - split: train path: data/train-* ---

ZixuanKe/cfa_extracted_exercise_sup_sample_from_policy_v1_1_rpo_stepwise_iter_1_dpo_val_chunk_5

ZixuanKe

--- dataset_info: features: - name: prompt dtype: string - name: rejected dtype: string - name: chosen dtype: string splits: - name: train num_bytes: 8014 num_examples: 7 download_size: 12088 dataset_size: 8014 configs: - config_name: default data_files: - split: train path: data/train-* ---

ZixuanKe/cfa_extracted_exercise_sup_sample_from_policy_v1_1_rpo_stepwise_iter_1_dpo_val_chunk_7

ZixuanKe

--- dataset_info: features: - name: prompt dtype: string - name: rejected dtype: string - name: chosen dtype: string splits: - name: train num_bytes: 12054 num_examples: 7 download_size: 18633 dataset_size: 12054 configs: - config_name: default data_files: - split: train path: data/train-* ---

2470001kjh/lama3_kjh_dataset

2470001kjh

--- license: mit dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 46130 num_examples: 200 download_size: 5612 dataset_size: 46130 configs: - config_name: default data_files: - split: train path: data/train-* ---

muhammad4269/vellum

muhammad4269

--- license: mit ---

McKennaCoin/Mycology

McKennaCoin

--- license: lgpl-3.0 tags: - not-for-all-audiences - mycology, size_categories: - n<1K ---

sammyview80/mac-os-commands

sammyview80

--- license: mit task_categories: - text2text-generation tags: - code pretty_name: mac-commands size_categories: - 100M<n<1B ---

Mitake/cluster5_news

Mitake

--- license: mit ---

argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_390711e7-4c98-4125-b927-d13c67f9c9f4

argilla-internal-testing

--- dataset_info: features: - name: text dtype: string - name: label dtype: class_label: names: '0': positive '1': negative splits: - name: train num_bytes: 111 num_examples: 3 download_size: 1256 dataset_size: 111 configs: - config_name: default data_files: - split: train path: data/train-* ---

argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_c9884a70-fbaf-4d64-8b9f-6dd15a93e00b

argilla-internal-testing

--- dataset_info: features: - name: text dtype: string - name: label dtype: class_label: names: '0': positive '1': negative splits: - name: train num_bytes: 111 num_examples: 3 download_size: 1256 dataset_size: 111 configs: - config_name: default data_files: - split: train path: data/train-* ---

argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_578c909c-53cb-45f8-805d-e3284bedfcf1

argilla-internal-testing

--- dataset_info: features: - name: text dtype: string - name: label dtype: class_label: names: '0': positive '1': negative splits: - name: train num_bytes: 111 num_examples: 3 download_size: 1256 dataset_size: 111 configs: - config_name: default data_files: - split: train path: data/train-* ---

argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_38048450-e255-4735-b7cc-a6a163161a4b

argilla-internal-testing

--- dataset_info: features: - name: text dtype: string - name: label dtype: class_label: names: '0': positive '1': negative splits: - name: train num_bytes: 111 num_examples: 3 download_size: 1256 dataset_size: 111 configs: - config_name: default data_files: - split: train path: data/train-* ---

argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_9492b135-c68e-4767-92de-ea06cf8829cc

argilla-internal-testing

--- dataset_info: features: - name: text dtype: string - name: label dtype: class_label: names: '0': positive '1': negative splits: - name: train num_bytes: 111 num_examples: 3 download_size: 1256 dataset_size: 111 configs: - config_name: default data_files: - split: train path: data/train-* ---

IlyasMoutawwakil/OpenVINO-Benchmarks

IlyasMoutawwakil

--- license: apache-2.0 ---

wangyubo/hatefulM

wangyubo

--- license: unknown ---

argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_9ca7b7d7-54cc-4f0f-a3d7-5323cb3dce4d

argilla-internal-testing

--- dataset_info: features: - name: text dtype: string - name: label dtype: class_label: names: '0': positive '1': negative splits: - name: train num_bytes: 111 num_examples: 3 download_size: 1454 dataset_size: 111 configs: - config_name: default data_files: - split: train path: data/train-* ---

argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_f2ce2eba-f2fe-4fae-8e37-425915796892

argilla-internal-testing

--- dataset_info: features: - name: text dtype: string - name: label dtype: class_label: names: '0': positive '1': negative splits: - name: train num_bytes: 111 num_examples: 3 download_size: 1454 dataset_size: 111 configs: - config_name: default data_files: - split: train path: data/train-* ---

argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_6112cd34-5fce-4c13-b0d7-676a2bb953f1

argilla-internal-testing

--- dataset_info: features: - name: text dtype: string - name: label dtype: class_label: names: '0': positive '1': negative splits: - name: train num_bytes: 111 num_examples: 3 download_size: 1454 dataset_size: 111 configs: - config_name: default data_files: - split: train path: data/train-* ---

argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_4680180e-3fdb-4823-9c22-e7d9334c27d7

argilla-internal-testing

--- dataset_info: features: - name: text dtype: string - name: label dtype: class_label: names: '0': positive '1': negative splits: - name: train num_bytes: 111 num_examples: 3 download_size: 1454 dataset_size: 111 configs: - config_name: default data_files: - split: train path: data/train-* ---

argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_dbc77f7f-3096-45a9-87ed-5c9e8613f4e9

argilla-internal-testing

--- dataset_info: features: - name: text dtype: string - name: label dtype: class_label: names: '0': positive '1': negative splits: - name: train num_bytes: 111 num_examples: 3 download_size: 1454 dataset_size: 111 configs: - config_name: default data_files: - split: train path: data/train-* ---

argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_a8139a23-c25f-4bc4-ab16-ecf5e7c5eea9

argilla-internal-testing

--- dataset_info: features: - name: text dtype: string - name: label dtype: class_label: names: '0': positive '1': negative splits: - name: train num_bytes: 111 num_examples: 3 download_size: 1256 dataset_size: 111 configs: - config_name: default data_files: - split: train path: data/train-* ---

argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_d58377ab-1c1c-4a73-8a34-933e5b46cc43

argilla-internal-testing

--- dataset_info: features: - name: text dtype: string - name: label dtype: class_label: names: '0': positive '1': negative splits: - name: train num_bytes: 111 num_examples: 3 download_size: 1256 dataset_size: 111 configs: - config_name: default data_files: - split: train path: data/train-* ---

argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_d74754d1-9fc6-4aae-8803-95d8f11771a3

argilla-internal-testing

--- dataset_info: features: - name: text dtype: string - name: label dtype: class_label: names: '0': positive '1': negative splits: - name: train num_bytes: 111 num_examples: 3 download_size: 1256 dataset_size: 111 configs: - config_name: default data_files: - split: train path: data/train-* ---

argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_a087f349-b4a2-465b-9394-71dbfcafa2fd

argilla-internal-testing

--- dataset_info: features: - name: text dtype: string - name: label dtype: class_label: names: '0': positive '1': negative splits: - name: train num_bytes: 111 num_examples: 3 download_size: 1256 dataset_size: 111 configs: - config_name: default data_files: - split: train path: data/train-* ---

argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_9b5fc76c-2660-4c38-8577-86dfe9b99ae7

argilla-internal-testing

--- dataset_info: features: - name: text dtype: string - name: label dtype: class_label: names: '0': positive '1': negative splits: - name: train num_bytes: 111 num_examples: 3 download_size: 1256 dataset_size: 111 configs: - config_name: default data_files: - split: train path: data/train-* ---

argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_8b705105-ba12-420f-9d01-91e628c5a9d3

argilla-internal-testing

--- dataset_info: features: - name: text dtype: string - name: label dtype: class_label: names: '0': positive '1': negative splits: - name: train num_bytes: 111 num_examples: 3 download_size: 1256 dataset_size: 111 configs: - config_name: default data_files: - split: train path: data/train-* ---

argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_bdb92b4f-3814-46c4-a25e-24b291aeae22

argilla-internal-testing

--- dataset_info: features: - name: text dtype: string - name: label dtype: class_label: names: '0': positive '1': negative splits: - name: train num_bytes: 111 num_examples: 3 download_size: 1256 dataset_size: 111 configs: - config_name: default data_files: - split: train path: data/train-* ---

argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_8d487bc2-47bd-461f-b7a8-b1ddc67521f5

argilla-internal-testing

--- dataset_info: features: - name: text dtype: string - name: label dtype: class_label: names: '0': positive '1': negative splits: - name: train num_bytes: 111 num_examples: 3 download_size: 1256 dataset_size: 111 configs: - config_name: default data_files: - split: train path: data/train-* ---

argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_eb58d6b2-282f-4bd6-8da4-100337288155

argilla-internal-testing

--- dataset_info: features: - name: text dtype: string - name: label dtype: class_label: names: '0': positive '1': negative splits: - name: train num_bytes: 111 num_examples: 3 download_size: 1256 dataset_size: 111 configs: - config_name: default data_files: - split: train path: data/train-* ---

argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_7ee81ab6-4305-425d-b1d3-7c42675b0218

argilla-internal-testing

--- dataset_info: features: - name: text dtype: string - name: label dtype: class_label: names: '0': positive '1': negative splits: - name: train num_bytes: 111 num_examples: 3 download_size: 1256 dataset_size: 111 configs: - config_name: default data_files: - split: train path: data/train-* ---

argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_556d8b4a-ea9f-4bf7-a1fa-21dac503257e

argilla-internal-testing

--- dataset_info: features: - name: text dtype: string - name: label dtype: class_label: names: '0': positive '1': negative splits: - name: train num_bytes: 111 num_examples: 3 download_size: 1256 dataset_size: 111 configs: - config_name: default data_files: - split: train path: data/train-* ---

argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_143add39-e304-4541-8699-70598629205d

argilla-internal-testing

--- dataset_info: features: - name: text dtype: string - name: label dtype: class_label: names: '0': positive '1': negative splits: - name: train num_bytes: 111 num_examples: 3 download_size: 1256 dataset_size: 111 configs: - config_name: default data_files: - split: train path: data/train-* ---

argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_3a3f1eb1-edfa-41ff-b19c-aa1916d8ae65

argilla-internal-testing

--- dataset_info: features: - name: text dtype: string - name: label dtype: class_label: names: '0': positive '1': negative splits: - name: train num_bytes: 111 num_examples: 3 download_size: 1256 dataset_size: 111 configs: - config_name: default data_files: - split: train path: data/train-* ---

argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_17287d6f-46bb-4027-9feb-66dd191d7e9e

argilla-internal-testing

--- dataset_info: features: - name: text dtype: string - name: label dtype: class_label: names: '0': positive '1': negative splits: - name: train num_bytes: 111 num_examples: 3 download_size: 1256 dataset_size: 111 configs: - config_name: default data_files: - split: train path: data/train-* ---

argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_4b77bd13-0e97-4b94-98b8-b0b76cf25823

argilla-internal-testing

--- dataset_info: features: - name: text dtype: string - name: label dtype: class_label: names: '0': positive '1': negative splits: - name: train num_bytes: 111 num_examples: 3 download_size: 1256 dataset_size: 111 configs: - config_name: default data_files: - split: train path: data/train-* ---

yaniokodf/alpaca_zh_demo

yaniokodf

--- license: apache-2.0 ---

argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_bb984135-06e3-444c-9b1f-a56e50c0ad37

argilla-internal-testing

--- dataset_info: features: - name: text dtype: string - name: label dtype: class_label: names: '0': positive '1': negative splits: - name: train num_bytes: 111 num_examples: 3 download_size: 1256 dataset_size: 111 configs: - config_name: default data_files: - split: train path: data/train-* ---

argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_192f91bb-4f43-4c04-a584-27eece2ff77e

argilla-internal-testing

--- dataset_info: features: - name: text dtype: string - name: label dtype: class_label: names: '0': positive '1': negative splits: - name: train num_bytes: 111 num_examples: 3 download_size: 1256 dataset_size: 111 configs: - config_name: default data_files: - split: train path: data/train-* ---

argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_36fe9989-9ace-49a0-876a-b074b7e22dc5

argilla-internal-testing

--- dataset_info: features: - name: text dtype: string - name: label dtype: class_label: names: '0': positive '1': negative splits: - name: train num_bytes: 111 num_examples: 3 download_size: 1256 dataset_size: 111 configs: - config_name: default data_files: - split: train path: data/train-* ---

argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_11eb5a74-eebe-4592-b1fb-b899a71790ad

argilla-internal-testing

--- dataset_info: features: - name: text dtype: string - name: label dtype: class_label: names: '0': positive '1': negative splits: - name: train num_bytes: 111 num_examples: 3 download_size: 1256 dataset_size: 111 configs: - config_name: default data_files: - split: train path: data/train-* ---

argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_2f8106af-14b2-4708-975c-688725cfd911

argilla-internal-testing

--- dataset_info: features: - name: text dtype: string - name: label dtype: class_label: names: '0': positive '1': negative splits: - name: train num_bytes: 111 num_examples: 3 download_size: 1256 dataset_size: 111 configs: - config_name: default data_files: - split: train path: data/train-* ---

Yotofu/so100_shoes

Yotofu

--- task_categories: - robotics tags: - LeRobot - so100_stereo - tutorial --- This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).

CGIAR/AgricultureVideosQnA2

CGIAR

--- license: apache-2.0 task_categories: - question-answering language: - or - hi tags: - agriculture - videoqna - videos size_categories: - 1K<n<10K --- The dataset is in XLS format with multiple sheets named for different languages. The dataset is primarily used for training and ground truth of answers that can be generated for agriculture related queries from the videos. Each sheet has list of video urls (youtube links) and the question that can be asked, corresponding answers that can be generated from the videos, source of information in the answer and time stamps. The sources of information could be: Transcript: based on what one hears Object: Based on an object shown Scene description: based on what is described Text overlay: based on text over lay shown in video Corresponding time stamps are also provided. The videos are in the following languages: Hindi Oriya

Lakshay1Dagar/marketing_prompts_v3

Lakshay1Dagar

--- dataset_info: features: - name: prompt dtype: string splits: - name: train num_bytes: 12784 num_examples: 19 download_size: 8681 dataset_size: 12784 configs: - config_name: default data_files: - split: train path: data/train-* ---

Vinisf/Vinirp

Vinisf

--- license: openrail ---

enjalot/ls-fineweb-edu-100k

enjalot

--- tags: - latent-scope --- # ls-fineweb-edu-100k This dataset contains the files necessary to view in [latentscope](https://github.com/enjalot/latent-scope). The files in the `latentscope` are used by the app to view. You can also preview the scope TODO Total size of dataset files: 1.3 GB TODO: download script inside latentscope

YangZhoumill/factor_medium_64k

YangZhoumill

--- dataset_info: features: - name: problem dtype: string - name: question dtype: string - name: solution dtype: string - name: op dtype: int64 - name: id dtype: int64 - name: template dtype: string - name: mode dtype: string - name: length dtype: string - name: d dtype: int64 splits: - name: ops_2 num_bytes: 138096441 num_examples: 480 - name: ops_3 num_bytes: 136357405 num_examples: 480 - name: ops_4 num_bytes: 132803657 num_examples: 480 - name: ops_5 num_bytes: 128621002 num_examples: 480 - name: ops_6 num_bytes: 317065486 num_examples: 1159 - name: ops_7 num_bytes: 127027447 num_examples: 492 - name: ops_8 num_bytes: 258260134 num_examples: 1003 - name: ops_9 num_bytes: 215930558 num_examples: 826 - name: ops_10 num_bytes: 186097498 num_examples: 759 - name: ops_11 num_bytes: 183021458 num_examples: 711 - name: ops_12 num_bytes: 180492543 num_examples: 692 - name: ops_13 num_bytes: 168159764 num_examples: 646 - name: ops_14 num_bytes: 151505080 num_examples: 571 - name: ops_15 num_bytes: 172408278 num_examples: 719 - name: ops_16 num_bytes: 164422053 num_examples: 678 - name: ops_17 num_bytes: 164290988 num_examples: 649 - name: ops_18 num_bytes: 156514421 num_examples: 610 - name: ops_19 num_bytes: 133023791 num_examples: 586 - name: ops_20 num_bytes: 125417848 num_examples: 538 download_size: 862021789 dataset_size: 3239515852 configs: - config_name: default data_files: - split: ops_2 path: data/ops_2-* - split: ops_3 path: data/ops_3-* - split: ops_4 path: data/ops_4-* - split: ops_5 path: data/ops_5-* - split: ops_6 path: data/ops_6-* - split: ops_7 path: data/ops_7-* - split: ops_8 path: data/ops_8-* - split: ops_9 path: data/ops_9-* - split: ops_10 path: data/ops_10-* - split: ops_11 path: data/ops_11-* - split: ops_12 path: data/ops_12-* - split: ops_13 path: data/ops_13-* - split: ops_14 path: data/ops_14-* - split: ops_15 path: data/ops_15-* - split: ops_16 path: data/ops_16-* - split: ops_17 path: data/ops_17-* - split: ops_18 path: data/ops_18-* - split: ops_19 path: data/ops_19-* - split: ops_20 path: data/ops_20-* ---

amuvarma/mls-train-500

amuvarma

--- dataset_info: features: - name: audio_values sequence: float64 - name: transcript_ids sequence: int64 - name: labels sequence: int64 - name: input_ids sequence: int32 splits: - name: train num_bytes: 1200822000000 num_examples: 500000 download_size: 738443026079 dataset_size: 1200822000000 configs: - config_name: default data_files: - split: train path: data/train-* ---

paulrichmond/astro_gen0

paulrichmond

--- dataset_info: features: - name: id dtype: string - name: abstract dtype: string - name: prompt dtype: string - name: y_true dtype: string - name: comp_Llama-2-7b-hf dtype: string - name: preds_Llama-2-7b-hf dtype: string - name: comp_Llama-3.1-8B dtype: string - name: preds_Llama-3.1-8B dtype: string - name: comp_astrollama_4bit dtype: string - name: preds_astrollama_4bit dtype: string splits: - name: test num_bytes: 829787 num_examples: 50 download_size: 475338 dataset_size: 829787 configs: - config_name: default data_files: - split: test path: data/test-* --- Generated with the following parameters - max_new_tokens: 1024 - min_new_tokens: 1 - temperature: 0.8 - do_sample: true

ferrazzipietro/LS_Llama-3.1-8B_e3c-sentences-sk-unrevised_NoQuant_32_16_0.05_32_BestF1

ferrazzipietro

--- dataset_info: features: - name: sentence dtype: string - name: entities list: - name: offsets sequence: int64 - name: text dtype: string - name: type dtype: string - name: tokens sequence: string - name: ner_tags sequence: int64 - name: ground_truth_word_level sequence: string - name: input_ids sequence: int32 - name: attention_mask sequence: int8 - name: labels sequence: int64 - name: predictions sequence: string - name: ground_truth_labels sequence: string splits: - name: all_validation num_bytes: 140757 num_examples: 97 - name: test num_bytes: 1213941 num_examples: 743 download_size: 277939 dataset_size: 1354698 configs: - config_name: default data_files: - split: all_validation path: data/all_validation-* - split: test path: data/test-* ---

DopeorNope/only_gsm8k_v2

DopeorNope

--- dataset_info: features: - name: instruction dtype: string - name: output dtype: string - name: input dtype: string splits: - name: train num_bytes: 3993094 num_examples: 7473 - name: validation num_bytes: 3993094 num_examples: 7473 download_size: 4616658 dataset_size: 7986188 configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* ---

paulrichmond/hep_th_gen0

paulrichmond

--- dataset_info: features: - name: id dtype: string - name: submitter dtype: string - name: authors dtype: string - name: title dtype: string - name: comments dtype: string - name: journal-ref dtype: string - name: doi dtype: string - name: report-no dtype: string - name: categories dtype: string - name: license dtype: string - name: orig_abstract dtype: string - name: versions list: - name: created dtype: string - name: version dtype: string - name: update_date dtype: string - name: authors_parsed sequence: sequence: string - name: abstract dtype: string - name: prompt dtype: string - name: y_true dtype: string - name: comp_s3-L-3.1-8B-base_v3 dtype: string - name: preds_s3-L-3.1-8B-base_v3 dtype: string - name: comp_s1-L-3.1-8B-base dtype: string - name: preds_s1-L-3.1-8B-base dtype: string - name: comp_Llama-3.1-8B dtype: string - name: preds_Llama-3.1-8B dtype: string - name: comp_s2-L-3.1-8B-base dtype: string - name: preds_s2-L-3.1-8B-base dtype: string splits: - name: test num_bytes: 524473 num_examples: 50 download_size: 330237 dataset_size: 524473 configs: - config_name: default data_files: - split: test path: data/test-* --- Generated with the following parameters - max_new_tokens: 1024 - min_new_tokens: 1 - temperature: 0.8 - do_sample: true

youseon/pakdd_table_merge_data_task_1

youseon

--- dataset_info: features: - name: prompt dtype: string splits: - name: train num_bytes: 103509254 num_examples: 9196 download_size: 20719831 dataset_size: 103509254 configs: - config_name: default data_files: - split: train path: data/train-* ---

Hotpot-Killer/instructpg-dataset

Hotpot-Killer

--- license: mit ---

plaguss/test-vision-generation-Llama-3.2-11B-Vision-Instruct

plaguss

--- size_categories: n<1K dataset_info: features: - name: instruction dtype: string - name: image dtype: string - name: generation dtype: string - name: distilabel_metadata struct: - name: raw_input_vision_gen list: - name: content list: - name: image_url struct: - name: url dtype: string - name: text dtype: string - name: type dtype: string - name: role dtype: string - name: raw_output_vision_gen dtype: string - name: statistics_vision_gen struct: - name: input_tokens dtype: int64 - name: output_tokens dtype: int64 - name: model_name dtype: string splits: - name: train num_bytes: 1759 num_examples: 1 download_size: 18245 dataset_size: 1759 configs: - config_name: default data_files: - split: train path: data/train-* tags: - synthetic - distilabel - rlaif --- <p align="left"> <a href="https://github.com/argilla-io/distilabel"> <img src="https://raw.githubusercontent.com/argilla-io/distilabel/main/docs/assets/distilabel-badge-light.png" alt="Built with Distilabel" width="200" height="32"/> </a> </p> # Dataset Card for test-vision-generation-Llama-3.2-11B-Vision-Instruct This dataset has been created with [distilabel](https://distilabel.argilla.io/). ## Dataset Summary This dataset contains a `pipeline.yaml` which can be used to reproduce the pipeline that generated it in distilabel using the `distilabel` CLI: ```console distilabel pipeline run --config "https://huggingface.co/datasets/plaguss/test-vision-generation-Llama-3.2-11B-Vision-Instruct/raw/main/pipeline.yaml" ``` or explore the configuration: ```console distilabel pipeline info --config "https://huggingface.co/datasets/plaguss/test-vision-generation-Llama-3.2-11B-Vision-Instruct/raw/main/pipeline.yaml" ``` ## Dataset structure The examples have the following structure per configuration: <details><summary> Configuration: default </summary><hr> ```json { "distilabel_metadata": { "raw_input_vision_gen": [ { "content": [ { "image_url": null, "text": "What\u2019s in this image?", "type": "text" }, { "image_url": { "url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg" }, "text": null, "type": "image_url" } ], "role": "user" } ], "raw_output_vision_gen": "This image depicts a wooden boardwalk weaving its way through a lush meadow, flanked by vibrant green grass that stretches towards the horizon under a calm and inviting sky.\n\nThe boardwalk runs straight ahead, away from the viewer, forming a clear pathway through the tall, lush green grass, crops or other plant types or an assortment of small trees and shrubs. This meadow is dotted with trees and shrubs, appearing to be healthy and green. The sky above is a beautiful blue with white clouds scattered throughout, adding a sense of tranquility to the scene.\n\nWhile this image appears to be of a natural landscape, because grass is", "statistics_vision_gen": { "input_tokens": 43, "output_tokens": 128 } }, "generation": "This image depicts a wooden boardwalk weaving its way through a lush meadow, flanked by vibrant green grass that stretches towards the horizon under a calm and inviting sky.\n\nThe boardwalk runs straight ahead, away from the viewer, forming a clear pathway through the tall, lush green grass, crops or other plant types or an assortment of small trees and shrubs. This meadow is dotted with trees and shrubs, appearing to be healthy and green. The sky above is a beautiful blue with white clouds scattered throughout, adding a sense of tranquility to the scene.\n\nWhile this image appears to be of a natural landscape, because grass is", "image": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg", "instruction": "What\u2019s in this image?", "model_name": "meta-llama/Llama-3.2-11B-Vision-Instruct" } ``` This subset can be loaded as: ```python from datasets import load_dataset ds = load_dataset("plaguss/test-vision-generation-Llama-3.2-11B-Vision-Instruct", "default") ``` Or simply as it follows, since there's only one configuration and is named `default`: ```python from datasets import load_dataset ds = load_dataset("plaguss/test-vision-generation-Llama-3.2-11B-Vision-Instruct") ``` </details>

neurograce/SubstationDataset

neurograce

--- license: apache-2.0 ---

Jhonatan321/Datasets_Jhona

Jhonatan321

--- license: mit task_categories: - text-generation language: - es tags: - code dataset_info: features: - name: url dtype: string - name: repository_url dtype: string - name: labels_url dtype: string - name: comments_url dtype: string - name: events_url dtype: string - name: html_url dtype: string - name: id dtype: int64 - name: node_id dtype: string - name: number dtype: int64 - name: title dtype: string - name: user struct: - name: avatar_url dtype: string - name: events_url dtype: string - name: followers_url dtype: string - name: following_url dtype: string - name: gists_url dtype: string - name: gravatar_id dtype: string - name: html_url dtype: string - name: id dtype: int64 - name: login dtype: string - name: node_id dtype: string - name: organizations_url dtype: string - name: received_events_url dtype: string - name: repos_url dtype: string - name: site_admin dtype: bool - name: starred_url dtype: string - name: subscriptions_url dtype: string - name: type dtype: string - name: url dtype: string - name: user_view_type dtype: string - name: labels list: - name: color dtype: string - name: default dtype: bool - name: description dtype: string - name: id dtype: int64 - name: name dtype: string - name: node_id dtype: string - name: url dtype: string - name: state dtype: string - name: locked dtype: bool - name: assignee struct: - name: avatar_url dtype: string - name: events_url dtype: string - name: followers_url dtype: string - name: following_url dtype: string - name: gists_url dtype: string - name: gravatar_id dtype: string - name: html_url dtype: string - name: id dtype: float64 - name: login dtype: string - name: node_id dtype: string - name: organizations_url dtype: string - name: received_events_url dtype: string - name: repos_url dtype: string - name: site_admin dtype: bool - name: starred_url dtype: string - name: subscriptions_url dtype: string - name: type dtype: string - name: url dtype: string - name: user_view_type dtype: string - name: assignees list: - name: avatar_url dtype: string - name: events_url dtype: string - name: followers_url dtype: string - name: following_url dtype: string - name: gists_url dtype: string - name: gravatar_id dtype: string - name: html_url dtype: string - name: id dtype: int64 - name: login dtype: string - name: node_id dtype: string - name: organizations_url dtype: string - name: received_events_url dtype: string - name: repos_url dtype: string - name: site_admin dtype: bool - name: starred_url dtype: string - name: subscriptions_url dtype: string - name: type dtype: string - name: url dtype: string - name: user_view_type dtype: string - name: milestone struct: - name: closed_at dtype: 'null' - name: closed_issues dtype: float64 - name: created_at dtype: timestamp[us] - name: creator struct: - name: avatar_url dtype: string - name: events_url dtype: string - name: followers_url dtype: string - name: following_url dtype: string - name: gists_url dtype: string - name: gravatar_id dtype: string - name: html_url dtype: string - name: id dtype: float64 - name: login dtype: string - name: node_id dtype: string - name: organizations_url dtype: string - name: received_events_url dtype: string - name: repos_url dtype: string - name: site_admin dtype: bool - name: starred_url dtype: string - name: subscriptions_url dtype: string - name: type dtype: string - name: url dtype: string - name: user_view_type dtype: string - name: description dtype: string - name: due_on dtype: 'null' - name: html_url dtype: string - name: id dtype: float64 - name: labels_url dtype: string - name: node_id dtype: string - name: number dtype: float64 - name: open_issues dtype: float64 - name: state dtype: string - name: title dtype: string - name: updated_at dtype: timestamp[us] - name: url dtype: string - name: comments dtype: int64 - name: created_at dtype: timestamp[s] - name: updated_at dtype: timestamp[s] - name: closed_at dtype: timestamp[s] - name: author_association dtype: string - name: active_lock_reason dtype: 'null' - name: draft dtype: bool - name: pull_request struct: - name: diff_url dtype: string - name: html_url dtype: string - name: merged_at dtype: timestamp[us] - name: patch_url dtype: string - name: url dtype: string - name: body dtype: string - name: closed_by struct: - name: avatar_url dtype: string - name: events_url dtype: string - name: followers_url dtype: string - name: following_url dtype: string - name: gists_url dtype: string - name: gravatar_id dtype: string - name: html_url dtype: string - name: id dtype: float64 - name: login dtype: string - name: node_id dtype: string - name: organizations_url dtype: string - name: received_events_url dtype: string - name: repos_url dtype: string - name: site_admin dtype: bool - name: starred_url dtype: string - name: subscriptions_url dtype: string - name: type dtype: string - name: url dtype: string - name: user_view_type dtype: string - name: reactions struct: - name: '+1' dtype: int64 - name: '-1' dtype: int64 - name: confused dtype: int64 - name: eyes dtype: int64 - name: heart dtype: int64 - name: hooray dtype: int64 - name: laugh dtype: int64 - name: rocket dtype: int64 - name: total_count dtype: int64 - name: url dtype: string - name: timeline_url dtype: string - name: performed_via_github_app dtype: 'null' - name: state_reason dtype: string - name: is_pull_request dtype: bool - name: time_to_close dtype: float64 splits: - name: train num_bytes: 3852467 num_examples: 1000 download_size: 953844 dataset_size: 3852467 configs: - config_name: default data_files: - split: train path: data/train-* ---

clearclarencs/finetuning_demo

clearclarencs

--- dataset_info: features: - name: prompt dtype: string splits: - name: train num_bytes: 491836 num_examples: 520 download_size: 148992 dataset_size: 491836 configs: - config_name: default data_files: - split: train path: data/train-* ---

sumuks/y1.5-single-shot-questions-original

sumuks

--- dataset_info: features: - name: chunk_uuid dtype: string - name: generator_model dtype: string - name: question_type dtype: string - name: question dtype: string - name: answer dtype: string - name: document_analysis dtype: string - name: chunk_analysis dtype: string - name: potential_question_directions sequence: string - name: best_direction dtype: string - name: reasoning dtype: string - name: estimated_difficulty dtype: int64 - name: testable_concepts sequence: string - name: difficulty_justification dtype: string - name: quote_context dtype: string - name: supporting_quotes sequence: string splits: - name: train num_bytes: 58162258 num_examples: 28191 download_size: 15896400 dataset_size: 58162258 configs: - config_name: default data_files: - split: train path: data/train-* ---

sumuks/y1.5-single-shot-questions-deduplicated

sumuks

--- dataset_info: features: - name: chunk_uuid dtype: string - name: generator_model dtype: string - name: question_type dtype: string - name: question dtype: string - name: answer dtype: string - name: document_analysis dtype: string - name: chunk_analysis dtype: string - name: potential_question_directions sequence: string - name: best_direction dtype: string - name: reasoning dtype: string - name: estimated_difficulty dtype: int64 - name: testable_concepts sequence: string - name: difficulty_justification dtype: string - name: quote_context dtype: string - name: supporting_quotes sequence: string splits: - name: train num_bytes: 6458280 num_examples: 3143 download_size: 2316494 dataset_size: 6458280 configs: - config_name: default data_files: - split: train path: data/train-* ---

babs/ezine-8

babs

--- dataset_info: features: - name: audio dtype: audio - name: transcription dtype: string splits: - name: train num_bytes: 58693103.0 num_examples: 194 download_size: 58660510 dataset_size: 58693103.0 configs: - config_name: default data_files: - split: train path: data/train-* ---

gcp-acp/flipkart-dataprep

gcp-acp

--- license: cc-by-sa-4.0 --- - Generated prompt data, [Built with Llama 3.1](https://www.llama.com/llama3_1/license/) - [Data Preparation](https://github.com/GoogleCloudPlatform/accelerated-platforms/tree/main/docs/use-cases/model-fine-tuning-pipeline#data-preparation) - [Raw Data](https://www.kaggle.com/datasets/PromptCloudHQ/flipkart-products/data)

gcp-acp/flipkart-preprocessed

gcp-acp

--- size_categories: - 10K<n<100K license: cc-by-sa-4.0 --- - [Data Preprocessing](https://github.com/GoogleCloudPlatform/accelerated-platforms/tree/main/docs/use-cases/model-fine-tuning-pipeline#data-preprocessing-steps) - [Raw Data](https://www.kaggle.com/datasets/PromptCloudHQ/flipkart-products/data)

jamesnatulan/cuelang

jamesnatulan

--- dataset_info: features: - name: repo_path dtype: string - name: repo_name dtype: string - name: url dtype: string - name: content dtype: string splits: - name: train num_bytes: 88645676 num_examples: 13235 download_size: 20801533 dataset_size: 88645676 configs: - config_name: default data_files: - split: train path: data/train-* ---

omnineura/supriya102

omnineura

--- dataset_info: features: - name: context dtype: string - name: question dtype: string - name: answers dtype: string splits: - name: train num_bytes: 76279 num_examples: 102 download_size: 22504 dataset_size: 76279 configs: - config_name: default data_files: - split: train path: data/train-* ---

adhammai/depression_v2

adhammai

--- dataset_info: features: - name: is_depression dtype: int64 - name: clean_text dtype: string splits: - name: train num_bytes: 472207 num_examples: 1000 - name: validation num_bytes: 89917 num_examples: 200 download_size: 341335 dataset_size: 562124 configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* ---

oakwood/nakashita_fin

oakwood

--- task_categories: - robotics tags: - LeRobot - tutorial - eval --- This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).

mjjang/custom_drug_dataset

mjjang

--- dataset_info: features: - name: patient_id dtype: int64 - name: drugName dtype: string - name: condition dtype: string - name: review dtype: string - name: rating dtype: float64 - name: date dtype: string - name: usefulCount dtype: int64 - name: review_length dtype: int64 splits: - name: train num_bytes: 65975578 num_examples: 110811 - name: validation num_bytes: 16422578 num_examples: 27703 - name: test num_bytes: 27430466 num_examples: 46108 download_size: 63886981 dataset_size: 109828622 configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* - split: test path: data/test-* ---

piporica/custom_drug_dataset

piporica

--- dataset_info: features: - name: patient_id dtype: int64 - name: drugName dtype: string - name: condition dtype: string - name: review dtype: string - name: rating dtype: float64 - name: date dtype: string - name: usefulCount dtype: int64 - name: review_length dtype: int64 splits: - name: train num_bytes: 65975578 num_examples: 110811 - name: validation num_bytes: 16422578 num_examples: 27703 - name: test num_bytes: 27430466 num_examples: 46108 download_size: 63886981 dataset_size: 109828622 configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* - split: test path: data/test-* ---

lihaonan/multible

lihaonan

--- license: apache-2.0 ---

gusornu/github-issues

gusornu

--- dataset_info: features: - name: url dtype: string - name: repository_url dtype: string - name: labels_url dtype: string - name: comments_url dtype: string - name: events_url dtype: string - name: html_url dtype: string - name: id dtype: int64 - name: node_id dtype: string - name: number dtype: int64 - name: title dtype: string - name: user struct: - name: login dtype: string - name: id dtype: int64 - name: node_id dtype: string - name: avatar_url dtype: string - name: gravatar_id dtype: string - name: url dtype: string - name: html_url dtype: string - name: followers_url dtype: string - name: following_url dtype: string - name: gists_url dtype: string - name: starred_url dtype: string - name: subscriptions_url dtype: string - name: organizations_url dtype: string - name: repos_url dtype: string - name: events_url dtype: string - name: received_events_url dtype: string - name: type dtype: string - name: user_view_type dtype: string - name: site_admin dtype: bool - name: labels list: - name: id dtype: int64 - name: node_id dtype: string - name: url dtype: string - name: name dtype: string - name: color dtype: string - name: default dtype: bool - name: description dtype: string - name: state dtype: string - name: locked dtype: bool - name: assignee struct: - name: login dtype: string - name: id dtype: int64 - name: node_id dtype: string - name: avatar_url dtype: string - name: gravatar_id dtype: string - name: url dtype: string - name: html_url dtype: string - name: followers_url dtype: string - name: following_url dtype: string - name: gists_url dtype: string - name: starred_url dtype: string - name: subscriptions_url dtype: string - name: organizations_url dtype: string - name: repos_url dtype: string - name: events_url dtype: string - name: received_events_url dtype: string - name: type dtype: string - name: user_view_type dtype: string - name: site_admin dtype: bool - name: assignees list: - name: login dtype: string - name: id dtype: int64 - name: node_id dtype: string - name: avatar_url dtype: string - name: gravatar_id dtype: string - name: url dtype: string - name: html_url dtype: string - name: followers_url dtype: string - name: following_url dtype: string - name: gists_url dtype: string - name: starred_url dtype: string - name: subscriptions_url dtype: string - name: organizations_url dtype: string - name: repos_url dtype: string - name: events_url dtype: string - name: received_events_url dtype: string - name: type dtype: string - name: user_view_type dtype: string - name: site_admin dtype: bool - name: milestone struct: - name: url dtype: string - name: html_url dtype: string - name: labels_url dtype: string - name: id dtype: int64 - name: node_id dtype: string - name: number dtype: int64 - name: title dtype: string - name: description dtype: string - name: creator struct: - name: login dtype: string - name: id dtype: int64 - name: node_id dtype: string - name: avatar_url dtype: string - name: gravatar_id dtype: string - name: url dtype: string - name: html_url dtype: string - name: followers_url dtype: string - name: following_url dtype: string - name: gists_url dtype: string - name: starred_url dtype: string - name: subscriptions_url dtype: string - name: organizations_url dtype: string - name: repos_url dtype: string - name: events_url dtype: string - name: received_events_url dtype: string - name: type dtype: string - name: user_view_type dtype: string - name: site_admin dtype: bool - name: open_issues dtype: int64 - name: closed_issues dtype: int64 - name: state dtype: string - name: created_at dtype: timestamp[s] - name: updated_at dtype: timestamp[s] - name: due_on dtype: 'null' - name: closed_at dtype: 'null' - name: comments sequence: string - name: created_at dtype: timestamp[s] - name: updated_at dtype: timestamp[s] - name: closed_at dtype: timestamp[s] - name: author_association dtype: string - name: active_lock_reason dtype: 'null' - name: draft dtype: bool - name: pull_request struct: - name: url dtype: string - name: html_url dtype: string - name: diff_url dtype: string - name: patch_url dtype: string - name: merged_at dtype: timestamp[s] - name: body dtype: string - name: closed_by struct: - name: login dtype: string - name: id dtype: int64 - name: node_id dtype: string - name: avatar_url dtype: string - name: gravatar_id dtype: string - name: url dtype: string - name: html_url dtype: string - name: followers_url dtype: string - name: following_url dtype: string - name: gists_url dtype: string - name: starred_url dtype: string - name: subscriptions_url dtype: string - name: organizations_url dtype: string - name: repos_url dtype: string - name: events_url dtype: string - name: received_events_url dtype: string - name: type dtype: string - name: user_view_type dtype: string - name: site_admin dtype: bool - name: reactions struct: - name: url dtype: string - name: total_count dtype: int64 - name: '+1' dtype: int64 - name: '-1' dtype: int64 - name: laugh dtype: int64 - name: hooray dtype: int64 - name: confused dtype: int64 - name: heart dtype: int64 - name: rocket dtype: int64 - name: eyes dtype: int64 - name: timeline_url dtype: string - name: performed_via_github_app dtype: 'null' - name: state_reason dtype: string - name: is_pull_request dtype: bool splits: - name: train num_bytes: 8299878 num_examples: 1000 download_size: 2244132 dataset_size: 8299878 configs: - config_name: default data_files: - split: train path: data/train-* ---

liyu002/coco_label

liyu002

--- license: apache-2.0 ---

ADT1999/my-dataset-work-old

ADT1999

--- dataset_info: features: - name: img_id dtype: string - name: original_image dtype: string - name: target_image dtype: string - name: object_image dtype: string splits: - name: train num_bytes: 13330378 num_examples: 108094 download_size: 7702420 dataset_size: 13330378 configs: - config_name: default data_files: - split: train path: data/train-* ---

laion/binary-stance-detection

laion

--- license: mit ---

Holmeister/TSATweets-single

Holmeister

--- dataset_info: features: - name: instruction dtype: string - name: input dtype: string - name: output dtype: string - name: inst_no dtype: int64 - name: system dtype: string splits: - name: train num_bytes: 1396064 num_examples: 3300 - name: validation num_bytes: 169581 num_examples: 400 - name: test num_bytes: 1951210 num_examples: 5000 download_size: 424416 dataset_size: 3516855 configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* - split: test path: data/test-* ---

philokey/coco_val2014_sampled

philokey

--- license: apache-2.0 dataset_info: features: - name: image dtype: image - name: prompt dtype: string - name: id dtype: int64 - name: lan dtype: string splits: - name: test num_bytes: 108827011.0 num_examples: 1000 download_size: 108824687 dataset_size: 108827011.0 configs: - config_name: default data_files: - split: test path: data/test-* ---

procit007/treated_0.0

procit007

--- dataset_info: features: - name: gender dtype: string - name: accent dtype: string - name: speaker_id dtype: int64 - name: speaker_name dtype: string - name: text dtype: string - name: normalized_text dtype: string - name: audio dtype: audio - name: treated dtype: bool - name: metrics struct: - name: clipping_ratio dtype: float64 - name: duration dtype: float64 - name: is_valid dtype: bool - name: rms_energy dtype: float64 - name: sample_rate dtype: int64 - name: silence_ratio dtype: float64 - name: snr dtype: float64 splits: - name: train num_bytes: 3179526859.0 num_examples: 10000 download_size: 2982631424 dataset_size: 3179526859.0 configs: - config_name: default data_files: - split: train path: data/train-* ---

open-llm-leaderboard/GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct-details

open-llm-leaderboard

--- pretty_name: Evaluation run of GoToCompany/llama3-8b-cpt-sahabatai-v1-instruct dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [GoToCompany/llama3-8b-cpt-sahabatai-v1-instruct](https://huggingface.co/GoToCompany/llama3-8b-cpt-sahabatai-v1-instruct)\n\ The dataset is composed of 38 configuration(s), each one corresponding to one of\ \ the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can\ \ be found as a specific split in each configuration, the split being named using\ \ the timestamp of the run.The \"train\" split is always pointing to the latest\ \ results.\n\nAn additional configuration \"results\" store all the aggregated results\ \ of the run.\n\nTo load the details from a run, you can for instance do the following:\n\ ```python\nfrom datasets import load_dataset\ndata = load_dataset(\n\t\"open-llm-leaderboard/GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct-details\"\ ,\n\tname=\"GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_bbh_boolean_expressions\"\ ,\n\tsplit=\"latest\"\n)\n```\n\n## Latest results\n\nThese are the [latest results\ \ from run 2024-11-21T12-46-29.613339](https://huggingface.co/datasets/open-llm-leaderboard/GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct-details/blob/main/GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct/results_2024-11-21T12-46-29.613339.json)\ \ (note that there might be results for other tasks in the repos if successive evals\ \ didn't cover the same tasks. You find each in the results and the \"latest\" split\ \ for each eval):\n\n```python\n{\n \"all\": {\n \"leaderboard\": {\n\ \ \"inst_level_loose_acc,none\": 0.6115107913669064,\n \"\ inst_level_loose_acc_stderr,none\": \"N/A\",\n \"prompt_level_loose_acc,none\"\ : 0.4805914972273567,\n \"prompt_level_loose_acc_stderr,none\": 0.021500357879025087,\n\ \ \"acc_norm,none\": 0.4541445064210663,\n \"acc_norm_stderr,none\"\ : 0.005315784780969996,\n \"exact_match,none\": 0.11858006042296072,\n\ \ \"exact_match_stderr,none\": 0.008506754143074618,\n \"\ prompt_level_strict_acc,none\": 0.4565619223659889,\n \"prompt_level_strict_acc_stderr,none\"\ : 0.021435222545538937,\n \"acc,none\": 0.3453291223404255,\n \ \ \"acc_stderr,none\": 0.004334881701803689,\n \"inst_level_strict_acc,none\"\ : 0.5911270983213429,\n \"inst_level_strict_acc_stderr,none\": \"N/A\"\ ,\n \"alias\": \"leaderboard\"\n },\n \"leaderboard_bbh\"\ : {\n \"acc_norm,none\": 0.4936642943933345,\n \"acc_norm_stderr,none\"\ : 0.006171633979063365,\n \"alias\": \" - leaderboard_bbh\"\n \ \ },\n \"leaderboard_bbh_boolean_expressions\": {\n \"alias\"\ : \" - leaderboard_bbh_boolean_expressions\",\n \"acc_norm,none\": 0.82,\n\ \ \"acc_norm_stderr,none\": 0.02434689065029351\n },\n \ \ \"leaderboard_bbh_causal_judgement\": {\n \"alias\": \" - leaderboard_bbh_causal_judgement\"\ ,\n \"acc_norm,none\": 0.6096256684491979,\n \"acc_norm_stderr,none\"\ : 0.03576973947986408\n },\n \"leaderboard_bbh_date_understanding\"\ : {\n \"alias\": \" - leaderboard_bbh_date_understanding\",\n \ \ \"acc_norm,none\": 0.496,\n \"acc_norm_stderr,none\": 0.0316851985511992\n\ \ },\n \"leaderboard_bbh_disambiguation_qa\": {\n \"alias\"\ : \" - leaderboard_bbh_disambiguation_qa\",\n \"acc_norm,none\": 0.572,\n\ \ \"acc_norm_stderr,none\": 0.031355968923772626\n },\n \ \ \"leaderboard_bbh_formal_fallacies\": {\n \"alias\": \" - leaderboard_bbh_formal_fallacies\"\ ,\n \"acc_norm,none\": 0.552,\n \"acc_norm_stderr,none\":\ \ 0.03151438761115348\n },\n \"leaderboard_bbh_geometric_shapes\"\ : {\n \"alias\": \" - leaderboard_bbh_geometric_shapes\",\n \ \ \"acc_norm,none\": 0.42,\n \"acc_norm_stderr,none\": 0.03127799950463661\n\ \ },\n \"leaderboard_bbh_hyperbaton\": {\n \"alias\": \"\ \ - leaderboard_bbh_hyperbaton\",\n \"acc_norm,none\": 0.66,\n \ \ \"acc_norm_stderr,none\": 0.030020073605457876\n },\n \"leaderboard_bbh_logical_deduction_five_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_logical_deduction_five_objects\"\ ,\n \"acc_norm,none\": 0.32,\n \"acc_norm_stderr,none\": 0.029561724955240978\n\ \ },\n \"leaderboard_bbh_logical_deduction_seven_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\",\n\ \ \"acc_norm,none\": 0.332,\n \"acc_norm_stderr,none\": 0.029844039047465857\n\ \ },\n \"leaderboard_bbh_logical_deduction_three_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_logical_deduction_three_objects\",\n\ \ \"acc_norm,none\": 0.524,\n \"acc_norm_stderr,none\": 0.03164968895968774\n\ \ },\n \"leaderboard_bbh_movie_recommendation\": {\n \"\ alias\": \" - leaderboard_bbh_movie_recommendation\",\n \"acc_norm,none\"\ : 0.692,\n \"acc_norm_stderr,none\": 0.02925692860650181\n },\n\ \ \"leaderboard_bbh_navigate\": {\n \"alias\": \" - leaderboard_bbh_navigate\"\ ,\n \"acc_norm,none\": 0.636,\n \"acc_norm_stderr,none\":\ \ 0.030491555220405475\n },\n \"leaderboard_bbh_object_counting\"\ : {\n \"alias\": \" - leaderboard_bbh_object_counting\",\n \ \ \"acc_norm,none\": 0.396,\n \"acc_norm_stderr,none\": 0.030993197854577898\n\ \ },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"\ alias\": \" - leaderboard_bbh_penguins_in_a_table\",\n \"acc_norm,none\"\ : 0.4452054794520548,\n \"acc_norm_stderr,none\": 0.04127264774457449\n\ \ },\n \"leaderboard_bbh_reasoning_about_colored_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\",\n\ \ \"acc_norm,none\": 0.616,\n \"acc_norm_stderr,none\": 0.030821679117375447\n\ \ },\n \"leaderboard_bbh_ruin_names\": {\n \"alias\": \"\ \ - leaderboard_bbh_ruin_names\",\n \"acc_norm,none\": 0.676,\n \ \ \"acc_norm_stderr,none\": 0.029658294924545567\n },\n \"\ leaderboard_bbh_salient_translation_error_detection\": {\n \"alias\"\ : \" - leaderboard_bbh_salient_translation_error_detection\",\n \"acc_norm,none\"\ : 0.436,\n \"acc_norm_stderr,none\": 0.031425567060281365\n },\n\ \ \"leaderboard_bbh_snarks\": {\n \"alias\": \" - leaderboard_bbh_snarks\"\ ,\n \"acc_norm,none\": 0.5842696629213483,\n \"acc_norm_stderr,none\"\ : 0.037044683959609616\n },\n \"leaderboard_bbh_sports_understanding\"\ : {\n \"alias\": \" - leaderboard_bbh_sports_understanding\",\n \ \ \"acc_norm,none\": 0.744,\n \"acc_norm_stderr,none\": 0.027657108718204846\n\ \ },\n \"leaderboard_bbh_temporal_sequences\": {\n \"alias\"\ : \" - leaderboard_bbh_temporal_sequences\",\n \"acc_norm,none\": 0.244,\n\ \ \"acc_norm_stderr,none\": 0.02721799546455311\n },\n \ \ \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \"\ alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\",\n \ \ \"acc_norm,none\": 0.164,\n \"acc_norm_stderr,none\": 0.02346526100207671\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ ,\n \"acc_norm,none\": 0.176,\n \"acc_norm_stderr,none\":\ \ 0.024133497525457123\n },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ ,\n \"acc_norm,none\": 0.28,\n \"acc_norm_stderr,none\": 0.02845414827783231\n\ \ },\n \"leaderboard_bbh_web_of_lies\": {\n \"alias\":\ \ \" - leaderboard_bbh_web_of_lies\",\n \"acc_norm,none\": 0.488,\n\ \ \"acc_norm_stderr,none\": 0.03167708558254714\n },\n \ \ \"leaderboard_gpqa\": {\n \"acc_norm,none\": 0.26677852348993286,\n\ \ \"acc_norm_stderr,none\": 0.012801592257275486,\n \"alias\"\ : \" - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\": {\n\ \ \"alias\": \" - leaderboard_gpqa_diamond\",\n \"acc_norm,none\"\ : 0.3282828282828283,\n \"acc_norm_stderr,none\": 0.03345678422756777\n\ \ },\n \"leaderboard_gpqa_extended\": {\n \"alias\": \"\ \ - leaderboard_gpqa_extended\",\n \"acc_norm,none\": 0.25457875457875456,\n\ \ \"acc_norm_stderr,none\": 0.01866008900417748\n },\n \ \ \"leaderboard_gpqa_main\": {\n \"alias\": \" - leaderboard_gpqa_main\"\ ,\n \"acc_norm,none\": 0.2544642857142857,\n \"acc_norm_stderr,none\"\ : 0.02060126475832284\n },\n \"leaderboard_ifeval\": {\n \ \ \"alias\": \" - leaderboard_ifeval\",\n \"prompt_level_strict_acc,none\"\ : 0.4565619223659889,\n \"prompt_level_strict_acc_stderr,none\": 0.021435222545538937,\n\ \ \"inst_level_strict_acc,none\": 0.5911270983213429,\n \"\ inst_level_strict_acc_stderr,none\": \"N/A\",\n \"prompt_level_loose_acc,none\"\ : 0.4805914972273567,\n \"prompt_level_loose_acc_stderr,none\": 0.021500357879025083,\n\ \ \"inst_level_loose_acc,none\": 0.6115107913669064,\n \"\ inst_level_loose_acc_stderr,none\": \"N/A\"\n },\n \"leaderboard_math_hard\"\ : {\n \"exact_match,none\": 0.11858006042296072,\n \"exact_match_stderr,none\"\ : 0.008506754143074618,\n \"alias\": \" - leaderboard_math_hard\"\n \ \ },\n \"leaderboard_math_algebra_hard\": {\n \"alias\"\ : \" - leaderboard_math_algebra_hard\",\n \"exact_match,none\": 0.24104234527687296,\n\ \ \"exact_match_stderr,none\": 0.024450893367555328\n },\n \ \ \"leaderboard_math_counting_and_prob_hard\": {\n \"alias\": \"\ \ - leaderboard_math_counting_and_prob_hard\",\n \"exact_match,none\"\ : 0.11382113821138211,\n \"exact_match_stderr,none\": 0.02875360087323741\n\ \ },\n \"leaderboard_math_geometry_hard\": {\n \"alias\"\ : \" - leaderboard_math_geometry_hard\",\n \"exact_match,none\": 0.030303030303030304,\n\ \ \"exact_match_stderr,none\": 0.014977019714308254\n },\n \ \ \"leaderboard_math_intermediate_algebra_hard\": {\n \"alias\":\ \ \" - leaderboard_math_intermediate_algebra_hard\",\n \"exact_match,none\"\ : 0.010714285714285714,\n \"exact_match_stderr,none\": 0.006163684194761604\n\ \ },\n \"leaderboard_math_num_theory_hard\": {\n \"alias\"\ : \" - leaderboard_math_num_theory_hard\",\n \"exact_match,none\": 0.07792207792207792,\n\ \ \"exact_match_stderr,none\": 0.021670471414711772\n },\n \ \ \"leaderboard_math_prealgebra_hard\": {\n \"alias\": \" - leaderboard_math_prealgebra_hard\"\ ,\n \"exact_match,none\": 0.22797927461139897,\n \"exact_match_stderr,none\"\ : 0.030276909945178256\n },\n \"leaderboard_math_precalculus_hard\"\ : {\n \"alias\": \" - leaderboard_math_precalculus_hard\",\n \ \ \"exact_match,none\": 0.044444444444444446,\n \"exact_match_stderr,none\"\ : 0.01780263602032457\n },\n \"leaderboard_mmlu_pro\": {\n \ \ \"alias\": \" - leaderboard_mmlu_pro\",\n \"acc,none\": 0.3453291223404255,\n\ \ \"acc_stderr,none\": 0.004334881701803689\n },\n \"leaderboard_musr\"\ : {\n \"acc_norm,none\": 0.44841269841269843,\n \"acc_norm_stderr,none\"\ : 0.01786233407718341,\n \"alias\": \" - leaderboard_musr\"\n \ \ },\n \"leaderboard_musr_murder_mysteries\": {\n \"alias\": \"\ \ - leaderboard_musr_murder_mysteries\",\n \"acc_norm,none\": 0.568,\n\ \ \"acc_norm_stderr,none\": 0.03139181076542941\n },\n \ \ \"leaderboard_musr_object_placements\": {\n \"alias\": \" - leaderboard_musr_object_placements\"\ ,\n \"acc_norm,none\": 0.39453125,\n \"acc_norm_stderr,none\"\ : 0.030606698150250366\n },\n \"leaderboard_musr_team_allocation\"\ : {\n \"alias\": \" - leaderboard_musr_team_allocation\",\n \ \ \"acc_norm,none\": 0.384,\n \"acc_norm_stderr,none\": 0.030821679117375447\n\ \ }\n },\n \"leaderboard\": {\n \"inst_level_loose_acc,none\"\ : 0.6115107913669064,\n \"inst_level_loose_acc_stderr,none\": \"N/A\",\n\ \ \"prompt_level_loose_acc,none\": 0.4805914972273567,\n \"prompt_level_loose_acc_stderr,none\"\ : 0.021500357879025087,\n \"acc_norm,none\": 0.4541445064210663,\n \ \ \"acc_norm_stderr,none\": 0.005315784780969996,\n \"exact_match,none\"\ : 0.11858006042296072,\n \"exact_match_stderr,none\": 0.008506754143074618,\n\ \ \"prompt_level_strict_acc,none\": 0.4565619223659889,\n \"prompt_level_strict_acc_stderr,none\"\ : 0.021435222545538937,\n \"acc,none\": 0.3453291223404255,\n \"acc_stderr,none\"\ : 0.004334881701803689,\n \"inst_level_strict_acc,none\": 0.5911270983213429,\n\ \ \"inst_level_strict_acc_stderr,none\": \"N/A\",\n \"alias\": \"\ leaderboard\"\n },\n \"leaderboard_bbh\": {\n \"acc_norm,none\": 0.4936642943933345,\n\ \ \"acc_norm_stderr,none\": 0.006171633979063365,\n \"alias\": \"\ \ - leaderboard_bbh\"\n },\n \"leaderboard_bbh_boolean_expressions\": {\n\ \ \"alias\": \" - leaderboard_bbh_boolean_expressions\",\n \"acc_norm,none\"\ : 0.82,\n \"acc_norm_stderr,none\": 0.02434689065029351\n },\n \"leaderboard_bbh_causal_judgement\"\ : {\n \"alias\": \" - leaderboard_bbh_causal_judgement\",\n \"acc_norm,none\"\ : 0.6096256684491979,\n \"acc_norm_stderr,none\": 0.03576973947986408\n \ \ },\n \"leaderboard_bbh_date_understanding\": {\n \"alias\": \" -\ \ leaderboard_bbh_date_understanding\",\n \"acc_norm,none\": 0.496,\n \ \ \"acc_norm_stderr,none\": 0.0316851985511992\n },\n \"leaderboard_bbh_disambiguation_qa\"\ : {\n \"alias\": \" - leaderboard_bbh_disambiguation_qa\",\n \"acc_norm,none\"\ : 0.572,\n \"acc_norm_stderr,none\": 0.031355968923772626\n },\n \"\ leaderboard_bbh_formal_fallacies\": {\n \"alias\": \" - leaderboard_bbh_formal_fallacies\"\ ,\n \"acc_norm,none\": 0.552,\n \"acc_norm_stderr,none\": 0.03151438761115348\n\ \ },\n \"leaderboard_bbh_geometric_shapes\": {\n \"alias\": \" - leaderboard_bbh_geometric_shapes\"\ ,\n \"acc_norm,none\": 0.42,\n \"acc_norm_stderr,none\": 0.03127799950463661\n\ \ },\n \"leaderboard_bbh_hyperbaton\": {\n \"alias\": \" - leaderboard_bbh_hyperbaton\"\ ,\n \"acc_norm,none\": 0.66,\n \"acc_norm_stderr,none\": 0.030020073605457876\n\ \ },\n \"leaderboard_bbh_logical_deduction_five_objects\": {\n \"alias\"\ : \" - leaderboard_bbh_logical_deduction_five_objects\",\n \"acc_norm,none\"\ : 0.32,\n \"acc_norm_stderr,none\": 0.029561724955240978\n },\n \"\ leaderboard_bbh_logical_deduction_seven_objects\": {\n \"alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\"\ ,\n \"acc_norm,none\": 0.332,\n \"acc_norm_stderr,none\": 0.029844039047465857\n\ \ },\n \"leaderboard_bbh_logical_deduction_three_objects\": {\n \"\ alias\": \" - leaderboard_bbh_logical_deduction_three_objects\",\n \"acc_norm,none\"\ : 0.524,\n \"acc_norm_stderr,none\": 0.03164968895968774\n },\n \"\ leaderboard_bbh_movie_recommendation\": {\n \"alias\": \" - leaderboard_bbh_movie_recommendation\"\ ,\n \"acc_norm,none\": 0.692,\n \"acc_norm_stderr,none\": 0.02925692860650181\n\ \ },\n \"leaderboard_bbh_navigate\": {\n \"alias\": \" - leaderboard_bbh_navigate\"\ ,\n \"acc_norm,none\": 0.636,\n \"acc_norm_stderr,none\": 0.030491555220405475\n\ \ },\n \"leaderboard_bbh_object_counting\": {\n \"alias\": \" - leaderboard_bbh_object_counting\"\ ,\n \"acc_norm,none\": 0.396,\n \"acc_norm_stderr,none\": 0.030993197854577898\n\ \ },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"alias\": \" \ \ - leaderboard_bbh_penguins_in_a_table\",\n \"acc_norm,none\": 0.4452054794520548,\n\ \ \"acc_norm_stderr,none\": 0.04127264774457449\n },\n \"leaderboard_bbh_reasoning_about_colored_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\"\ ,\n \"acc_norm,none\": 0.616,\n \"acc_norm_stderr,none\": 0.030821679117375447\n\ \ },\n \"leaderboard_bbh_ruin_names\": {\n \"alias\": \" - leaderboard_bbh_ruin_names\"\ ,\n \"acc_norm,none\": 0.676,\n \"acc_norm_stderr,none\": 0.029658294924545567\n\ \ },\n \"leaderboard_bbh_salient_translation_error_detection\": {\n \ \ \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\",\n \ \ \"acc_norm,none\": 0.436,\n \"acc_norm_stderr,none\": 0.031425567060281365\n\ \ },\n \"leaderboard_bbh_snarks\": {\n \"alias\": \" - leaderboard_bbh_snarks\"\ ,\n \"acc_norm,none\": 0.5842696629213483,\n \"acc_norm_stderr,none\"\ : 0.037044683959609616\n },\n \"leaderboard_bbh_sports_understanding\": {\n\ \ \"alias\": \" - leaderboard_bbh_sports_understanding\",\n \"acc_norm,none\"\ : 0.744,\n \"acc_norm_stderr,none\": 0.027657108718204846\n },\n \"\ leaderboard_bbh_temporal_sequences\": {\n \"alias\": \" - leaderboard_bbh_temporal_sequences\"\ ,\n \"acc_norm,none\": 0.244,\n \"acc_norm_stderr,none\": 0.02721799546455311\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ ,\n \"acc_norm,none\": 0.164,\n \"acc_norm_stderr,none\": 0.02346526100207671\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ ,\n \"acc_norm,none\": 0.176,\n \"acc_norm_stderr,none\": 0.024133497525457123\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ ,\n \"acc_norm,none\": 0.28,\n \"acc_norm_stderr,none\": 0.02845414827783231\n\ \ },\n \"leaderboard_bbh_web_of_lies\": {\n \"alias\": \" - leaderboard_bbh_web_of_lies\"\ ,\n \"acc_norm,none\": 0.488,\n \"acc_norm_stderr,none\": 0.03167708558254714\n\ \ },\n \"leaderboard_gpqa\": {\n \"acc_norm,none\": 0.26677852348993286,\n\ \ \"acc_norm_stderr,none\": 0.012801592257275486,\n \"alias\": \"\ \ - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\": {\n \"\ alias\": \" - leaderboard_gpqa_diamond\",\n \"acc_norm,none\": 0.3282828282828283,\n\ \ \"acc_norm_stderr,none\": 0.03345678422756777\n },\n \"leaderboard_gpqa_extended\"\ : {\n \"alias\": \" - leaderboard_gpqa_extended\",\n \"acc_norm,none\"\ : 0.25457875457875456,\n \"acc_norm_stderr,none\": 0.01866008900417748\n\ \ },\n \"leaderboard_gpqa_main\": {\n \"alias\": \" - leaderboard_gpqa_main\"\ ,\n \"acc_norm,none\": 0.2544642857142857,\n \"acc_norm_stderr,none\"\ : 0.02060126475832284\n },\n \"leaderboard_ifeval\": {\n \"alias\"\ : \" - leaderboard_ifeval\",\n \"prompt_level_strict_acc,none\": 0.4565619223659889,\n\ \ \"prompt_level_strict_acc_stderr,none\": 0.021435222545538937,\n \ \ \"inst_level_strict_acc,none\": 0.5911270983213429,\n \"inst_level_strict_acc_stderr,none\"\ : \"N/A\",\n \"prompt_level_loose_acc,none\": 0.4805914972273567,\n \ \ \"prompt_level_loose_acc_stderr,none\": 0.021500357879025083,\n \"inst_level_loose_acc,none\"\ : 0.6115107913669064,\n \"inst_level_loose_acc_stderr,none\": \"N/A\"\n \ \ },\n \"leaderboard_math_hard\": {\n \"exact_match,none\": 0.11858006042296072,\n\ \ \"exact_match_stderr,none\": 0.008506754143074618,\n \"alias\":\ \ \" - leaderboard_math_hard\"\n },\n \"leaderboard_math_algebra_hard\": {\n\ \ \"alias\": \" - leaderboard_math_algebra_hard\",\n \"exact_match,none\"\ : 0.24104234527687296,\n \"exact_match_stderr,none\": 0.024450893367555328\n\ \ },\n \"leaderboard_math_counting_and_prob_hard\": {\n \"alias\":\ \ \" - leaderboard_math_counting_and_prob_hard\",\n \"exact_match,none\"\ : 0.11382113821138211,\n \"exact_match_stderr,none\": 0.02875360087323741\n\ \ },\n \"leaderboard_math_geometry_hard\": {\n \"alias\": \" - leaderboard_math_geometry_hard\"\ ,\n \"exact_match,none\": 0.030303030303030304,\n \"exact_match_stderr,none\"\ : 0.014977019714308254\n },\n \"leaderboard_math_intermediate_algebra_hard\"\ : {\n \"alias\": \" - leaderboard_math_intermediate_algebra_hard\",\n \ \ \"exact_match,none\": 0.010714285714285714,\n \"exact_match_stderr,none\"\ : 0.006163684194761604\n },\n \"leaderboard_math_num_theory_hard\": {\n \ \ \"alias\": \" - leaderboard_math_num_theory_hard\",\n \"exact_match,none\"\ : 0.07792207792207792,\n \"exact_match_stderr,none\": 0.021670471414711772\n\ \ },\n \"leaderboard_math_prealgebra_hard\": {\n \"alias\": \" - leaderboard_math_prealgebra_hard\"\ ,\n \"exact_match,none\": 0.22797927461139897,\n \"exact_match_stderr,none\"\ : 0.030276909945178256\n },\n \"leaderboard_math_precalculus_hard\": {\n \ \ \"alias\": \" - leaderboard_math_precalculus_hard\",\n \"exact_match,none\"\ : 0.044444444444444446,\n \"exact_match_stderr,none\": 0.01780263602032457\n\ \ },\n \"leaderboard_mmlu_pro\": {\n \"alias\": \" - leaderboard_mmlu_pro\"\ ,\n \"acc,none\": 0.3453291223404255,\n \"acc_stderr,none\": 0.004334881701803689\n\ \ },\n \"leaderboard_musr\": {\n \"acc_norm,none\": 0.44841269841269843,\n\ \ \"acc_norm_stderr,none\": 0.01786233407718341,\n \"alias\": \" -\ \ leaderboard_musr\"\n },\n \"leaderboard_musr_murder_mysteries\": {\n \ \ \"alias\": \" - leaderboard_musr_murder_mysteries\",\n \"acc_norm,none\"\ : 0.568,\n \"acc_norm_stderr,none\": 0.03139181076542941\n },\n \"\ leaderboard_musr_object_placements\": {\n \"alias\": \" - leaderboard_musr_object_placements\"\ ,\n \"acc_norm,none\": 0.39453125,\n \"acc_norm_stderr,none\": 0.030606698150250366\n\ \ },\n \"leaderboard_musr_team_allocation\": {\n \"alias\": \" - leaderboard_musr_team_allocation\"\ ,\n \"acc_norm,none\": 0.384,\n \"acc_norm_stderr,none\": 0.030821679117375447\n\ \ }\n}\n```" repo_url: https://huggingface.co/GoToCompany/llama3-8b-cpt-sahabatai-v1-instruct leaderboard_url: '' point_of_contact: '' configs: - config_name: GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_bbh_boolean_expressions data_files: - split: 2024_11_21T12_46_29.613339 path: - '**/samples_leaderboard_bbh_boolean_expressions_2024-11-21T12-46-29.613339.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_boolean_expressions_2024-11-21T12-46-29.613339.jsonl' - config_name: GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_bbh_causal_judgement data_files: - split: 2024_11_21T12_46_29.613339 path: - '**/samples_leaderboard_bbh_causal_judgement_2024-11-21T12-46-29.613339.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_causal_judgement_2024-11-21T12-46-29.613339.jsonl' - config_name: GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_bbh_date_understanding data_files: - split: 2024_11_21T12_46_29.613339 path: - '**/samples_leaderboard_bbh_date_understanding_2024-11-21T12-46-29.613339.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_date_understanding_2024-11-21T12-46-29.613339.jsonl' - config_name: GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_bbh_disambiguation_qa data_files: - split: 2024_11_21T12_46_29.613339 path: - '**/samples_leaderboard_bbh_disambiguation_qa_2024-11-21T12-46-29.613339.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_disambiguation_qa_2024-11-21T12-46-29.613339.jsonl' - config_name: GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_bbh_formal_fallacies data_files: - split: 2024_11_21T12_46_29.613339 path: - '**/samples_leaderboard_bbh_formal_fallacies_2024-11-21T12-46-29.613339.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_formal_fallacies_2024-11-21T12-46-29.613339.jsonl' - config_name: GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_bbh_geometric_shapes data_files: - split: 2024_11_21T12_46_29.613339 path: - '**/samples_leaderboard_bbh_geometric_shapes_2024-11-21T12-46-29.613339.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_geometric_shapes_2024-11-21T12-46-29.613339.jsonl' - config_name: GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_bbh_hyperbaton data_files: - split: 2024_11_21T12_46_29.613339 path: - '**/samples_leaderboard_bbh_hyperbaton_2024-11-21T12-46-29.613339.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_hyperbaton_2024-11-21T12-46-29.613339.jsonl' - config_name: GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_bbh_logical_deduction_five_objects data_files: - split: 2024_11_21T12_46_29.613339 path: - '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-11-21T12-46-29.613339.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-11-21T12-46-29.613339.jsonl' - config_name: GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_bbh_logical_deduction_seven_objects data_files: - split: 2024_11_21T12_46_29.613339 path: - '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-11-21T12-46-29.613339.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-11-21T12-46-29.613339.jsonl' - config_name: GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_bbh_logical_deduction_three_objects data_files: - split: 2024_11_21T12_46_29.613339 path: - '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-11-21T12-46-29.613339.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-11-21T12-46-29.613339.jsonl' - config_name: GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_bbh_movie_recommendation data_files: - split: 2024_11_21T12_46_29.613339 path: - '**/samples_leaderboard_bbh_movie_recommendation_2024-11-21T12-46-29.613339.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_movie_recommendation_2024-11-21T12-46-29.613339.jsonl' - config_name: GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_bbh_navigate data_files: - split: 2024_11_21T12_46_29.613339 path: - '**/samples_leaderboard_bbh_navigate_2024-11-21T12-46-29.613339.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_navigate_2024-11-21T12-46-29.613339.jsonl' - config_name: GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_bbh_object_counting data_files: - split: 2024_11_21T12_46_29.613339 path: - '**/samples_leaderboard_bbh_object_counting_2024-11-21T12-46-29.613339.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_object_counting_2024-11-21T12-46-29.613339.jsonl' - config_name: GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_bbh_penguins_in_a_table data_files: - split: 2024_11_21T12_46_29.613339 path: - '**/samples_leaderboard_bbh_penguins_in_a_table_2024-11-21T12-46-29.613339.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_penguins_in_a_table_2024-11-21T12-46-29.613339.jsonl' - config_name: GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_bbh_reasoning_about_colored_objects data_files: - split: 2024_11_21T12_46_29.613339 path: - '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-11-21T12-46-29.613339.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-11-21T12-46-29.613339.jsonl' - config_name: GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_bbh_ruin_names data_files: - split: 2024_11_21T12_46_29.613339 path: - '**/samples_leaderboard_bbh_ruin_names_2024-11-21T12-46-29.613339.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_ruin_names_2024-11-21T12-46-29.613339.jsonl' - config_name: GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_bbh_salient_translation_error_detection data_files: - split: 2024_11_21T12_46_29.613339 path: - '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-11-21T12-46-29.613339.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-11-21T12-46-29.613339.jsonl' - config_name: GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_bbh_snarks data_files: - split: 2024_11_21T12_46_29.613339 path: - '**/samples_leaderboard_bbh_snarks_2024-11-21T12-46-29.613339.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_snarks_2024-11-21T12-46-29.613339.jsonl' - config_name: GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_bbh_sports_understanding data_files: - split: 2024_11_21T12_46_29.613339 path: - '**/samples_leaderboard_bbh_sports_understanding_2024-11-21T12-46-29.613339.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_sports_understanding_2024-11-21T12-46-29.613339.jsonl' - config_name: GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_bbh_temporal_sequences data_files: - split: 2024_11_21T12_46_29.613339 path: - '**/samples_leaderboard_bbh_temporal_sequences_2024-11-21T12-46-29.613339.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_temporal_sequences_2024-11-21T12-46-29.613339.jsonl' - config_name: GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_bbh_tracking_shuffled_objects_five_objects data_files: - split: 2024_11_21T12_46_29.613339 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-11-21T12-46-29.613339.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-11-21T12-46-29.613339.jsonl' - config_name: GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_bbh_tracking_shuffled_objects_seven_objects data_files: - split: 2024_11_21T12_46_29.613339 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-11-21T12-46-29.613339.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-11-21T12-46-29.613339.jsonl' - config_name: GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_bbh_tracking_shuffled_objects_three_objects data_files: - split: 2024_11_21T12_46_29.613339 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-11-21T12-46-29.613339.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-11-21T12-46-29.613339.jsonl' - config_name: GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_bbh_web_of_lies data_files: - split: 2024_11_21T12_46_29.613339 path: - '**/samples_leaderboard_bbh_web_of_lies_2024-11-21T12-46-29.613339.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_web_of_lies_2024-11-21T12-46-29.613339.jsonl' - config_name: GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_gpqa_diamond data_files: - split: 2024_11_21T12_46_29.613339 path: - '**/samples_leaderboard_gpqa_diamond_2024-11-21T12-46-29.613339.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_diamond_2024-11-21T12-46-29.613339.jsonl' - config_name: GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_gpqa_extended data_files: - split: 2024_11_21T12_46_29.613339 path: - '**/samples_leaderboard_gpqa_extended_2024-11-21T12-46-29.613339.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_extended_2024-11-21T12-46-29.613339.jsonl' - config_name: GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_gpqa_main data_files: - split: 2024_11_21T12_46_29.613339 path: - '**/samples_leaderboard_gpqa_main_2024-11-21T12-46-29.613339.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_main_2024-11-21T12-46-29.613339.jsonl' - config_name: GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_ifeval data_files: - split: 2024_11_21T12_46_29.613339 path: - '**/samples_leaderboard_ifeval_2024-11-21T12-46-29.613339.jsonl' - split: latest path: - '**/samples_leaderboard_ifeval_2024-11-21T12-46-29.613339.jsonl' - config_name: GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_math_algebra_hard data_files: - split: 2024_11_21T12_46_29.613339 path: - '**/samples_leaderboard_math_algebra_hard_2024-11-21T12-46-29.613339.jsonl' - split: latest path: - '**/samples_leaderboard_math_algebra_hard_2024-11-21T12-46-29.613339.jsonl' - config_name: GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_math_counting_and_prob_hard data_files: - split: 2024_11_21T12_46_29.613339 path: - '**/samples_leaderboard_math_counting_and_prob_hard_2024-11-21T12-46-29.613339.jsonl' - split: latest path: - '**/samples_leaderboard_math_counting_and_prob_hard_2024-11-21T12-46-29.613339.jsonl' - config_name: GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_math_geometry_hard data_files: - split: 2024_11_21T12_46_29.613339 path: - '**/samples_leaderboard_math_geometry_hard_2024-11-21T12-46-29.613339.jsonl' - split: latest path: - '**/samples_leaderboard_math_geometry_hard_2024-11-21T12-46-29.613339.jsonl' - config_name: GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_math_intermediate_algebra_hard data_files: - split: 2024_11_21T12_46_29.613339 path: - '**/samples_leaderboard_math_intermediate_algebra_hard_2024-11-21T12-46-29.613339.jsonl' - split: latest path: - '**/samples_leaderboard_math_intermediate_algebra_hard_2024-11-21T12-46-29.613339.jsonl' - config_name: GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_math_num_theory_hard data_files: - split: 2024_11_21T12_46_29.613339 path: - '**/samples_leaderboard_math_num_theory_hard_2024-11-21T12-46-29.613339.jsonl' - split: latest path: - '**/samples_leaderboard_math_num_theory_hard_2024-11-21T12-46-29.613339.jsonl' - config_name: GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_math_prealgebra_hard data_files: - split: 2024_11_21T12_46_29.613339 path: - '**/samples_leaderboard_math_prealgebra_hard_2024-11-21T12-46-29.613339.jsonl' - split: latest path: - '**/samples_leaderboard_math_prealgebra_hard_2024-11-21T12-46-29.613339.jsonl' - config_name: GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_math_precalculus_hard data_files: - split: 2024_11_21T12_46_29.613339 path: - '**/samples_leaderboard_math_precalculus_hard_2024-11-21T12-46-29.613339.jsonl' - split: latest path: - '**/samples_leaderboard_math_precalculus_hard_2024-11-21T12-46-29.613339.jsonl' - config_name: GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_mmlu_pro data_files: - split: 2024_11_21T12_46_29.613339 path: - '**/samples_leaderboard_mmlu_pro_2024-11-21T12-46-29.613339.jsonl' - split: latest path: - '**/samples_leaderboard_mmlu_pro_2024-11-21T12-46-29.613339.jsonl' - config_name: GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_musr_murder_mysteries data_files: - split: 2024_11_21T12_46_29.613339 path: - '**/samples_leaderboard_musr_murder_mysteries_2024-11-21T12-46-29.613339.jsonl' - split: latest path: - '**/samples_leaderboard_musr_murder_mysteries_2024-11-21T12-46-29.613339.jsonl' - config_name: GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_musr_object_placements data_files: - split: 2024_11_21T12_46_29.613339 path: - '**/samples_leaderboard_musr_object_placements_2024-11-21T12-46-29.613339.jsonl' - split: latest path: - '**/samples_leaderboard_musr_object_placements_2024-11-21T12-46-29.613339.jsonl' - config_name: GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_musr_team_allocation data_files: - split: 2024_11_21T12_46_29.613339 path: - '**/samples_leaderboard_musr_team_allocation_2024-11-21T12-46-29.613339.jsonl' - split: latest path: - '**/samples_leaderboard_musr_team_allocation_2024-11-21T12-46-29.613339.jsonl' --- # Dataset Card for Evaluation run of GoToCompany/llama3-8b-cpt-sahabatai-v1-instruct <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [GoToCompany/llama3-8b-cpt-sahabatai-v1-instruct](https://huggingface.co/GoToCompany/llama3-8b-cpt-sahabatai-v1-instruct) The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task. The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration "results" store all the aggregated results of the run. To load the details from a run, you can for instance do the following: ```python from datasets import load_dataset data = load_dataset( "open-llm-leaderboard/GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct-details", name="GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct__leaderboard_bbh_boolean_expressions", split="latest" ) ``` ## Latest results These are the [latest results from run 2024-11-21T12-46-29.613339](https://huggingface.co/datasets/open-llm-leaderboard/GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct-details/blob/main/GoToCompany__llama3-8b-cpt-sahabatai-v1-instruct/results_2024-11-21T12-46-29.613339.json) (note that there might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval): ```python { "all": { "leaderboard": { "inst_level_loose_acc,none": 0.6115107913669064, "inst_level_loose_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.4805914972273567, "prompt_level_loose_acc_stderr,none": 0.021500357879025087, "acc_norm,none": 0.4541445064210663, "acc_norm_stderr,none": 0.005315784780969996, "exact_match,none": 0.11858006042296072, "exact_match_stderr,none": 0.008506754143074618, "prompt_level_strict_acc,none": 0.4565619223659889, "prompt_level_strict_acc_stderr,none": 0.021435222545538937, "acc,none": 0.3453291223404255, "acc_stderr,none": 0.004334881701803689, "inst_level_strict_acc,none": 0.5911270983213429, "inst_level_strict_acc_stderr,none": "N/A", "alias": "leaderboard" }, "leaderboard_bbh": { "acc_norm,none": 0.4936642943933345, "acc_norm_stderr,none": 0.006171633979063365, "alias": " - leaderboard_bbh" }, "leaderboard_bbh_boolean_expressions": { "alias": " - leaderboard_bbh_boolean_expressions", "acc_norm,none": 0.82, "acc_norm_stderr,none": 0.02434689065029351 }, "leaderboard_bbh_causal_judgement": { "alias": " - leaderboard_bbh_causal_judgement", "acc_norm,none": 0.6096256684491979, "acc_norm_stderr,none": 0.03576973947986408 }, "leaderboard_bbh_date_understanding": { "alias": " - leaderboard_bbh_date_understanding", "acc_norm,none": 0.496, "acc_norm_stderr,none": 0.0316851985511992 }, "leaderboard_bbh_disambiguation_qa": { "alias": " - leaderboard_bbh_disambiguation_qa", "acc_norm,none": 0.572, "acc_norm_stderr,none": 0.031355968923772626 }, "leaderboard_bbh_formal_fallacies": { "alias": " - leaderboard_bbh_formal_fallacies", "acc_norm,none": 0.552, "acc_norm_stderr,none": 0.03151438761115348 }, "leaderboard_bbh_geometric_shapes": { "alias": " - leaderboard_bbh_geometric_shapes", "acc_norm,none": 0.42, "acc_norm_stderr,none": 0.03127799950463661 }, "leaderboard_bbh_hyperbaton": { "alias": " - leaderboard_bbh_hyperbaton", "acc_norm,none": 0.66, "acc_norm_stderr,none": 0.030020073605457876 }, "leaderboard_bbh_logical_deduction_five_objects": { "alias": " - leaderboard_bbh_logical_deduction_five_objects", "acc_norm,none": 0.32, "acc_norm_stderr,none": 0.029561724955240978 }, "leaderboard_bbh_logical_deduction_seven_objects": { "alias": " - leaderboard_bbh_logical_deduction_seven_objects", "acc_norm,none": 0.332, "acc_norm_stderr,none": 0.029844039047465857 }, "leaderboard_bbh_logical_deduction_three_objects": { "alias": " - leaderboard_bbh_logical_deduction_three_objects", "acc_norm,none": 0.524, "acc_norm_stderr,none": 0.03164968895968774 }, "leaderboard_bbh_movie_recommendation": { "alias": " - leaderboard_bbh_movie_recommendation", "acc_norm,none": 0.692, "acc_norm_stderr,none": 0.02925692860650181 }, "leaderboard_bbh_navigate": { "alias": " - leaderboard_bbh_navigate", "acc_norm,none": 0.636, "acc_norm_stderr,none": 0.030491555220405475 }, "leaderboard_bbh_object_counting": { "alias": " - leaderboard_bbh_object_counting", "acc_norm,none": 0.396, "acc_norm_stderr,none": 0.030993197854577898 }, "leaderboard_bbh_penguins_in_a_table": { "alias": " - leaderboard_bbh_penguins_in_a_table", "acc_norm,none": 0.4452054794520548, "acc_norm_stderr,none": 0.04127264774457449 }, "leaderboard_bbh_reasoning_about_colored_objects": { "alias": " - leaderboard_bbh_reasoning_about_colored_objects", "acc_norm,none": 0.616, "acc_norm_stderr,none": 0.030821679117375447 }, "leaderboard_bbh_ruin_names": { "alias": " - leaderboard_bbh_ruin_names", "acc_norm,none": 0.676, "acc_norm_stderr,none": 0.029658294924545567 }, "leaderboard_bbh_salient_translation_error_detection": { "alias": " - leaderboard_bbh_salient_translation_error_detection", "acc_norm,none": 0.436, "acc_norm_stderr,none": 0.031425567060281365 }, "leaderboard_bbh_snarks": { "alias": " - leaderboard_bbh_snarks", "acc_norm,none": 0.5842696629213483, "acc_norm_stderr,none": 0.037044683959609616 }, "leaderboard_bbh_sports_understanding": { "alias": " - leaderboard_bbh_sports_understanding", "acc_norm,none": 0.744, "acc_norm_stderr,none": 0.027657108718204846 }, "leaderboard_bbh_temporal_sequences": { "alias": " - leaderboard_bbh_temporal_sequences", "acc_norm,none": 0.244, "acc_norm_stderr,none": 0.02721799546455311 }, "leaderboard_bbh_tracking_shuffled_objects_five_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects", "acc_norm,none": 0.164, "acc_norm_stderr,none": 0.02346526100207671 }, "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects", "acc_norm,none": 0.176, "acc_norm_stderr,none": 0.024133497525457123 }, "leaderboard_bbh_tracking_shuffled_objects_three_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects", "acc_norm,none": 0.28, "acc_norm_stderr,none": 0.02845414827783231 }, "leaderboard_bbh_web_of_lies": { "alias": " - leaderboard_bbh_web_of_lies", "acc_norm,none": 0.488, "acc_norm_stderr,none": 0.03167708558254714 }, "leaderboard_gpqa": { "acc_norm,none": 0.26677852348993286, "acc_norm_stderr,none": 0.012801592257275486, "alias": " - leaderboard_gpqa" }, "leaderboard_gpqa_diamond": { "alias": " - leaderboard_gpqa_diamond", "acc_norm,none": 0.3282828282828283, "acc_norm_stderr,none": 0.03345678422756777 }, "leaderboard_gpqa_extended": { "alias": " - leaderboard_gpqa_extended", "acc_norm,none": 0.25457875457875456, "acc_norm_stderr,none": 0.01866008900417748 }, "leaderboard_gpqa_main": { "alias": " - leaderboard_gpqa_main", "acc_norm,none": 0.2544642857142857, "acc_norm_stderr,none": 0.02060126475832284 }, "leaderboard_ifeval": { "alias": " - leaderboard_ifeval", "prompt_level_strict_acc,none": 0.4565619223659889, "prompt_level_strict_acc_stderr,none": 0.021435222545538937, "inst_level_strict_acc,none": 0.5911270983213429, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.4805914972273567, "prompt_level_loose_acc_stderr,none": 0.021500357879025083, "inst_level_loose_acc,none": 0.6115107913669064, "inst_level_loose_acc_stderr,none": "N/A" }, "leaderboard_math_hard": { "exact_match,none": 0.11858006042296072, "exact_match_stderr,none": 0.008506754143074618, "alias": " - leaderboard_math_hard" }, "leaderboard_math_algebra_hard": { "alias": " - leaderboard_math_algebra_hard", "exact_match,none": 0.24104234527687296, "exact_match_stderr,none": 0.024450893367555328 }, "leaderboard_math_counting_and_prob_hard": { "alias": " - leaderboard_math_counting_and_prob_hard", "exact_match,none": 0.11382113821138211, "exact_match_stderr,none": 0.02875360087323741 }, "leaderboard_math_geometry_hard": { "alias": " - leaderboard_math_geometry_hard", "exact_match,none": 0.030303030303030304, "exact_match_stderr,none": 0.014977019714308254 }, "leaderboard_math_intermediate_algebra_hard": { "alias": " - leaderboard_math_intermediate_algebra_hard", "exact_match,none": 0.010714285714285714, "exact_match_stderr,none": 0.006163684194761604 }, "leaderboard_math_num_theory_hard": { "alias": " - leaderboard_math_num_theory_hard", "exact_match,none": 0.07792207792207792, "exact_match_stderr,none": 0.021670471414711772 }, "leaderboard_math_prealgebra_hard": { "alias": " - leaderboard_math_prealgebra_hard", "exact_match,none": 0.22797927461139897, "exact_match_stderr,none": 0.030276909945178256 }, "leaderboard_math_precalculus_hard": { "alias": " - leaderboard_math_precalculus_hard", "exact_match,none": 0.044444444444444446, "exact_match_stderr,none": 0.01780263602032457 }, "leaderboard_mmlu_pro": { "alias": " - leaderboard_mmlu_pro", "acc,none": 0.3453291223404255, "acc_stderr,none": 0.004334881701803689 }, "leaderboard_musr": { "acc_norm,none": 0.44841269841269843, "acc_norm_stderr,none": 0.01786233407718341, "alias": " - leaderboard_musr" }, "leaderboard_musr_murder_mysteries": { "alias": " - leaderboard_musr_murder_mysteries", "acc_norm,none": 0.568, "acc_norm_stderr,none": 0.03139181076542941 }, "leaderboard_musr_object_placements": { "alias": " - leaderboard_musr_object_placements", "acc_norm,none": 0.39453125, "acc_norm_stderr,none": 0.030606698150250366 }, "leaderboard_musr_team_allocation": { "alias": " - leaderboard_musr_team_allocation", "acc_norm,none": 0.384, "acc_norm_stderr,none": 0.030821679117375447 } }, "leaderboard": { "inst_level_loose_acc,none": 0.6115107913669064, "inst_level_loose_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.4805914972273567, "prompt_level_loose_acc_stderr,none": 0.021500357879025087, "acc_norm,none": 0.4541445064210663, "acc_norm_stderr,none": 0.005315784780969996, "exact_match,none": 0.11858006042296072, "exact_match_stderr,none": 0.008506754143074618, "prompt_level_strict_acc,none": 0.4565619223659889, "prompt_level_strict_acc_stderr,none": 0.021435222545538937, "acc,none": 0.3453291223404255, "acc_stderr,none": 0.004334881701803689, "inst_level_strict_acc,none": 0.5911270983213429, "inst_level_strict_acc_stderr,none": "N/A", "alias": "leaderboard" }, "leaderboard_bbh": { "acc_norm,none": 0.4936642943933345, "acc_norm_stderr,none": 0.006171633979063365, "alias": " - leaderboard_bbh" }, "leaderboard_bbh_boolean_expressions": { "alias": " - leaderboard_bbh_boolean_expressions", "acc_norm,none": 0.82, "acc_norm_stderr,none": 0.02434689065029351 }, "leaderboard_bbh_causal_judgement": { "alias": " - leaderboard_bbh_causal_judgement", "acc_norm,none": 0.6096256684491979, "acc_norm_stderr,none": 0.03576973947986408 }, "leaderboard_bbh_date_understanding": { "alias": " - leaderboard_bbh_date_understanding", "acc_norm,none": 0.496, "acc_norm_stderr,none": 0.0316851985511992 }, "leaderboard_bbh_disambiguation_qa": { "alias": " - leaderboard_bbh_disambiguation_qa", "acc_norm,none": 0.572, "acc_norm_stderr,none": 0.031355968923772626 }, "leaderboard_bbh_formal_fallacies": { "alias": " - leaderboard_bbh_formal_fallacies", "acc_norm,none": 0.552, "acc_norm_stderr,none": 0.03151438761115348 }, "leaderboard_bbh_geometric_shapes": { "alias": " - leaderboard_bbh_geometric_shapes", "acc_norm,none": 0.42, "acc_norm_stderr,none": 0.03127799950463661 }, "leaderboard_bbh_hyperbaton": { "alias": " - leaderboard_bbh_hyperbaton", "acc_norm,none": 0.66, "acc_norm_stderr,none": 0.030020073605457876 }, "leaderboard_bbh_logical_deduction_five_objects": { "alias": " - leaderboard_bbh_logical_deduction_five_objects", "acc_norm,none": 0.32, "acc_norm_stderr,none": 0.029561724955240978 }, "leaderboard_bbh_logical_deduction_seven_objects": { "alias": " - leaderboard_bbh_logical_deduction_seven_objects", "acc_norm,none": 0.332, "acc_norm_stderr,none": 0.029844039047465857 }, "leaderboard_bbh_logical_deduction_three_objects": { "alias": " - leaderboard_bbh_logical_deduction_three_objects", "acc_norm,none": 0.524, "acc_norm_stderr,none": 0.03164968895968774 }, "leaderboard_bbh_movie_recommendation": { "alias": " - leaderboard_bbh_movie_recommendation", "acc_norm,none": 0.692, "acc_norm_stderr,none": 0.02925692860650181 }, "leaderboard_bbh_navigate": { "alias": " - leaderboard_bbh_navigate", "acc_norm,none": 0.636, "acc_norm_stderr,none": 0.030491555220405475 }, "leaderboard_bbh_object_counting": { "alias": " - leaderboard_bbh_object_counting", "acc_norm,none": 0.396, "acc_norm_stderr,none": 0.030993197854577898 }, "leaderboard_bbh_penguins_in_a_table": { "alias": " - leaderboard_bbh_penguins_in_a_table", "acc_norm,none": 0.4452054794520548, "acc_norm_stderr,none": 0.04127264774457449 }, "leaderboard_bbh_reasoning_about_colored_objects": { "alias": " - leaderboard_bbh_reasoning_about_colored_objects", "acc_norm,none": 0.616, "acc_norm_stderr,none": 0.030821679117375447 }, "leaderboard_bbh_ruin_names": { "alias": " - leaderboard_bbh_ruin_names", "acc_norm,none": 0.676, "acc_norm_stderr,none": 0.029658294924545567 }, "leaderboard_bbh_salient_translation_error_detection": { "alias": " - leaderboard_bbh_salient_translation_error_detection", "acc_norm,none": 0.436, "acc_norm_stderr,none": 0.031425567060281365 }, "leaderboard_bbh_snarks": { "alias": " - leaderboard_bbh_snarks", "acc_norm,none": 0.5842696629213483, "acc_norm_stderr,none": 0.037044683959609616 }, "leaderboard_bbh_sports_understanding": { "alias": " - leaderboard_bbh_sports_understanding", "acc_norm,none": 0.744, "acc_norm_stderr,none": 0.027657108718204846 }, "leaderboard_bbh_temporal_sequences": { "alias": " - leaderboard_bbh_temporal_sequences", "acc_norm,none": 0.244, "acc_norm_stderr,none": 0.02721799546455311 }, "leaderboard_bbh_tracking_shuffled_objects_five_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects", "acc_norm,none": 0.164, "acc_norm_stderr,none": 0.02346526100207671 }, "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects", "acc_norm,none": 0.176, "acc_norm_stderr,none": 0.024133497525457123 }, "leaderboard_bbh_tracking_shuffled_objects_three_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects", "acc_norm,none": 0.28, "acc_norm_stderr,none": 0.02845414827783231 }, "leaderboard_bbh_web_of_lies": { "alias": " - leaderboard_bbh_web_of_lies", "acc_norm,none": 0.488, "acc_norm_stderr,none": 0.03167708558254714 }, "leaderboard_gpqa": { "acc_norm,none": 0.26677852348993286, "acc_norm_stderr,none": 0.012801592257275486, "alias": " - leaderboard_gpqa" }, "leaderboard_gpqa_diamond": { "alias": " - leaderboard_gpqa_diamond", "acc_norm,none": 0.3282828282828283, "acc_norm_stderr,none": 0.03345678422756777 }, "leaderboard_gpqa_extended": { "alias": " - leaderboard_gpqa_extended", "acc_norm,none": 0.25457875457875456, "acc_norm_stderr,none": 0.01866008900417748 }, "leaderboard_gpqa_main": { "alias": " - leaderboard_gpqa_main", "acc_norm,none": 0.2544642857142857, "acc_norm_stderr,none": 0.02060126475832284 }, "leaderboard_ifeval": { "alias": " - leaderboard_ifeval", "prompt_level_strict_acc,none": 0.4565619223659889, "prompt_level_strict_acc_stderr,none": 0.021435222545538937, "inst_level_strict_acc,none": 0.5911270983213429, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.4805914972273567, "prompt_level_loose_acc_stderr,none": 0.021500357879025083, "inst_level_loose_acc,none": 0.6115107913669064, "inst_level_loose_acc_stderr,none": "N/A" }, "leaderboard_math_hard": { "exact_match,none": 0.11858006042296072, "exact_match_stderr,none": 0.008506754143074618, "alias": " - leaderboard_math_hard" }, "leaderboard_math_algebra_hard": { "alias": " - leaderboard_math_algebra_hard", "exact_match,none": 0.24104234527687296, "exact_match_stderr,none": 0.024450893367555328 }, "leaderboard_math_counting_and_prob_hard": { "alias": " - leaderboard_math_counting_and_prob_hard", "exact_match,none": 0.11382113821138211, "exact_match_stderr,none": 0.02875360087323741 }, "leaderboard_math_geometry_hard": { "alias": " - leaderboard_math_geometry_hard", "exact_match,none": 0.030303030303030304, "exact_match_stderr,none": 0.014977019714308254 }, "leaderboard_math_intermediate_algebra_hard": { "alias": " - leaderboard_math_intermediate_algebra_hard", "exact_match,none": 0.010714285714285714, "exact_match_stderr,none": 0.006163684194761604 }, "leaderboard_math_num_theory_hard": { "alias": " - leaderboard_math_num_theory_hard", "exact_match,none": 0.07792207792207792, "exact_match_stderr,none": 0.021670471414711772 }, "leaderboard_math_prealgebra_hard": { "alias": " - leaderboard_math_prealgebra_hard", "exact_match,none": 0.22797927461139897, "exact_match_stderr,none": 0.030276909945178256 }, "leaderboard_math_precalculus_hard": { "alias": " - leaderboard_math_precalculus_hard", "exact_match,none": 0.044444444444444446, "exact_match_stderr,none": 0.01780263602032457 }, "leaderboard_mmlu_pro": { "alias": " - leaderboard_mmlu_pro", "acc,none": 0.3453291223404255, "acc_stderr,none": 0.004334881701803689 }, "leaderboard_musr": { "acc_norm,none": 0.44841269841269843, "acc_norm_stderr,none": 0.01786233407718341, "alias": " - leaderboard_musr" }, "leaderboard_musr_murder_mysteries": { "alias": " - leaderboard_musr_murder_mysteries", "acc_norm,none": 0.568, "acc_norm_stderr,none": 0.03139181076542941 }, "leaderboard_musr_object_placements": { "alias": " - leaderboard_musr_object_placements", "acc_norm,none": 0.39453125, "acc_norm_stderr,none": 0.030606698150250366 }, "leaderboard_musr_team_allocation": { "alias": " - leaderboard_musr_team_allocation", "acc_norm,none": 0.384, "acc_norm_stderr,none": 0.030821679117375447 } } ``` ## Dataset Details ### Dataset Description <!-- Provide a longer summary of what this dataset is. --> - **Curated by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] ### Dataset Sources [optional] <!-- Provide the basic links for the dataset. --> - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses <!-- Address questions around how the dataset is intended to be used. --> ### Direct Use <!-- This section describes suitable use cases for the dataset. --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. --> [More Information Needed] ## Dataset Structure <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. --> [More Information Needed] ## Dataset Creation ### Curation Rationale <!-- Motivation for the creation of this dataset. --> [More Information Needed] ### Source Data <!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). --> #### Data Collection and Processing <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. --> [More Information Needed] #### Who are the source data producers? <!-- This section describes the people or systems who originally created the data. 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juliadollis/mistral_toxigen-data-test

juliadollis

--- dataset_info: features: - name: text dtype: string - name: target_group dtype: string - name: factual? dtype: string - name: ingroup_effect dtype: string - name: lewd dtype: string - name: framing dtype: string - name: predicted_group dtype: string - name: stereotyping dtype: string - name: intent dtype: float64 - name: toxicity_ai dtype: float64 - name: toxicity_human dtype: float64 - name: predicted_author dtype: string - name: actual_method dtype: string - name: is_toxic dtype: int64 - name: predicted_is_toxic dtype: int64 - name: y_true dtype: int64 - name: __index_level_0__ dtype: int64 splits: - name: train num_bytes: 3922 num_examples: 10 download_size: 11751 dataset_size: 3922 configs: - config_name: default data_files: - split: train path: data/train-* ---

jfcalvo/test-export-with-changes-2

jfcalvo

--- dataset_info: features: - name: pokemon dtype: string - name: type dtype: string splits: - name: train num_bytes: 180000 num_examples: 10000 download_size: 3818 dataset_size: 180000 configs: - config_name: default data_files: - split: train path: data/train-* ---

artnoage/Numina

artnoage

--- annotations_creators: - expert-generated language: - en language_creators: - expert-generated license: mit multilinguality: - monolingual pretty_name: Numina-Olympiads size_categories: - 1K<n<10K source_datasets: - AI-MO/NuminaMath-CoT task_categories: - text-generation - mathematical-reasoning task_ids: - math-word-problems - olympiad-math paperswithcode_id: numina-olympiads tags: - mathematics - olympiads - problem-solving - latex - mathematical-reasoning - math-word-problems - olympiad-math metrics: - name: filtered_ratio type: ratio value: 0.880 description: Ratio of filtered dataset size to original dataset size --- # Numina-Olympiads Filtered NuminaMath-CoT dataset containing only olympiads problems with valid answers. ## Dataset Information - Split: train - Original size: 859494 - Filtered size: 756193 - Source: olympiads - All examples contain valid boxed answers ## Dataset Description This dataset is a filtered version of the NuminaMath-CoT dataset, containing only problems from olympiad sources that have valid boxed answers. Each example includes: - A mathematical word problem - A detailed solution with step-by-step reasoning - A boxed final answer in LaTeX format ## Usage The dataset is particularly useful for: - Training and evaluating math problem-solving models - Studying olympiad-style mathematical reasoning - Testing model capabilities on complex word problems

juliadollis/mistral_toxigen-data-test_zeroshot_limiar3

juliadollis

--- dataset_info: features: - name: text dtype: string - name: target_group dtype: string - name: factual? dtype: string - name: ingroup_effect dtype: string - name: lewd dtype: string - name: framing dtype: string - name: predicted_group dtype: string - name: stereotyping dtype: string - name: intent dtype: float64 - name: toxicity_ai dtype: float64 - name: toxicity_human dtype: float64 - name: predicted_author dtype: string - name: actual_method dtype: string - name: is_toxic dtype: int64 - name: predicted_is_toxic dtype: int64 - name: y_true dtype: int64 splits: - name: train num_bytes: 393176 num_examples: 940 download_size: 85177 dataset_size: 393176 configs: - config_name: default data_files: - split: train path: data/train-* ---